audioVersionDurationSec float64 0 3.27k ⌀ | codeBlock stringlengths 3 77.5k ⌀ | codeBlockCount float64 0 389 ⌀ | collectionId stringlengths 9 12 ⌀ | createdDate stringclasses 741
values | createdDatetime stringlengths 19 19 ⌀ | firstPublishedDate stringclasses 610
values | firstPublishedDatetime stringlengths 19 19 ⌀ | imageCount float64 0 263 ⌀ | isSubscriptionLocked bool 2
classes | language stringclasses 52
values | latestPublishedDate stringclasses 577
values | latestPublishedDatetime stringlengths 19 19 ⌀ | linksCount float64 0 1.18k ⌀ | postId stringlengths 8 12 ⌀ | readingTime float64 0 99.6 ⌀ | recommends float64 0 42.3k ⌀ | responsesCreatedCount float64 0 3.08k ⌀ | socialRecommendsCount float64 0 3 ⌀ | subTitle stringlengths 1 141 ⌀ | tagsCount float64 1 6 ⌀ | text stringlengths 1 145k | title stringlengths 1 200 ⌀ | totalClapCount float64 0 292k ⌀ | uniqueSlug stringlengths 12 119 ⌀ | updatedDate stringclasses 431
values | updatedDatetime stringlengths 19 19 ⌀ | url stringlengths 32 829 ⌀ | vote bool 2
classes | wordCount float64 0 25k ⌀ | publicationdescription stringlengths 1 280 ⌀ | publicationdomain stringlengths 6 35 ⌀ | publicationfacebookPageName stringlengths 2 46 ⌀ | publicationfollowerCount float64 | publicationname stringlengths 4 139 ⌀ | publicationpublicEmail stringlengths 8 47 ⌀ | publicationslug stringlengths 3 50 ⌀ | publicationtags stringlengths 2 116 ⌀ | publicationtwitterUsername stringlengths 1 15 ⌀ | tag_name stringlengths 1 25 ⌀ | slug stringlengths 1 25 ⌀ | name stringlengths 1 25 ⌀ | postCount float64 0 332k ⌀ | author stringlengths 1 50 ⌀ | bio stringlengths 1 185 ⌀ | userId stringlengths 8 12 ⌀ | userName stringlengths 2 30 ⌀ | usersFollowedByCount float64 0 334k ⌀ | usersFollowedCount float64 0 85.9k ⌀ | scrappedDate float64 20.2M 20.2M ⌀ | claps stringclasses 163
values | reading_time float64 2 31 ⌀ | link stringclasses 230
values | authors stringlengths 2 392 ⌀ | timestamp stringlengths 19 32 ⌀ | tags stringlengths 6 263 ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | null | 0 | dab71a5c7e1f | 2018-06-25 | 2018-06-25 21:59:11 | 2017-10-05 | 2017-10-05 08:00:42 | 2 | false | en | 2018-06-25 | 2018-06-25 22:01:21 | 12 | 1a46aefcfba8 | 4.564465 | 1 | 0 | 0 | Welcome to the fight of the century. | 5 | Will Robots Take Over the World and Destroy All Our Jobs?
Welcome to the fight of the century.
In one corner there are the prophets of doom, who say that no job is safe from automation, and economic chaos is inevitable. And in the other corner, we have the rosy optimists, who believe technology will usher in a new era ... | Will Robots Take Over the World and Destroy All Our Jobs? | 6 | will-robots-take-over-the-world-and-destroy-all-our-jobs-1a46aefcfba8 | 2018-06-26 | 2018-06-26 03:36:27 | https://medium.com/s/story/will-robots-take-over-the-world-and-destroy-all-our-jobs-1a46aefcfba8 | false | 1,108 | CHILL is a co-innovation catalyst for Cisco and our customers. | null | null | null | Cisco CHILL | AreYouIn@cisco.com | cisco-chill | INNOVATION,INNOVATION LAB,INCLUSION,PROTOTYPING | katecokeeffe | Technology | technology | Technology | 166,125 | Kate O'Keeffe | null | 5efa882eb11 | kateochill | 2 | 1 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-04-22 | 2018-04-22 01:55:51 | 2018-04-22 | 2018-04-22 01:56:23 | 1 | false | en | 2018-04-22 | 2018-04-22 01:56:23 | 1 | 1a46f09803f5 | 0.69434 | 1 | 0 | 0 | Not only does it know when you’re home but the Nest Learning Thermostat also knows when you’re nearby. Here’s how it works. | 5 | How does the Nest Learning Thermostat work?
Not only does it know when you’re home but the Nest Learning Thermostat also knows when you’re nearby. Here’s how it works.
You crank up the heat to 70 and walk away. Nest then immediately returns to 62 degrees.
Thinking there must be something screwy with the algorithm you ... | How does the Nest Learning Thermostat work? | 1 | how-does-the-nest-learning-thermostat-work-1a46f09803f5 | 2018-06-13 | 2018-06-13 03:06:11 | https://medium.com/s/story/how-does-the-nest-learning-thermostat-work-1a46f09803f5 | false | 131 | null | null | null | null | null | null | null | null | null | Nest | nest | Nest | 192 | Robert Ellison | I Thought He Came With You | 791d92a60936 | abfo | 157 | 37 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2017-11-04 | 2017-11-04 10:40:22 | 2017-11-18 | 2017-11-18 13:53:52 | 9 | false | en | 2017-11-23 | 2017-11-23 04:09:35 | 4 | 1a492adf066e | 3.528302 | 3 | 0 | 0 | EP#1- Geting a kick start | 5 | Journal from 0 to Hero with Data Science and Machine learning (Python) EP1
EP#1- Geting a kick start
Data scientist is the sexiest job of 21st century but who why? I’m pretty sure that now a day, Many people might have heard of Data science and Machine Learning. For those who don’t let me explain a liitle bit about it.... | Journal from 0 to Hero with Data Science and Machine learning (Python) EP1 | 3 | journal-from-0-to-hero-with-data-science-and-machine-learning-python-1a492adf066e | 2017-11-23 | 2017-11-23 04:09:35 | https://medium.com/s/story/journal-from-0-to-hero-with-data-science-and-machine-learning-python-1a492adf066e | false | 617 | null | null | null | null | null | null | null | null | null | Data Science | data-science | Data Science | 33,617 | Punchok Kerdsiri | I’m person who loves technology and sharing my experience about IT and my jobs from the past to present. | 9dc67e621117 | punchokkerdsiri | 46 | 58 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 9f879f9889b4 | 2018-06-27 | 2018-06-27 14:52:07 | 2018-06-28 | 2018-06-28 08:26:27 | 1 | false | en | 2018-06-28 | 2018-06-28 08:26:27 | 1 | 1a4bc31af95a | 11.437736 | 0 | 0 | 0 | Artificial intelligence, or AI, is one of the most popular business buzzwords in circulation today. Many people are talking about how AI… | 1 | Picture by Andy Kelly
Finding Value in AI: Applied AI and Social Technologies
Artificial intelligence, or AI, is one of the most popular business buzzwords in circulation today. Many people are talking about how AI will transform how we live, work, and play. Journalists, politicians, futurists, and technology companies... | Finding Value in AI: Applied AI and Social Technologies | 0 | finding-value-in-ai-applied-ai-and-social-technologies-1a4bc31af95a | 2018-06-28 | 2018-06-28 19:47:31 | https://medium.com/s/story/finding-value-in-ai-applied-ai-and-social-technologies-1a4bc31af95a | false | 2,978 | Gemic's take on where we are headed | null | null | null | The Morrow | eelis.nguyen@gemic.com | the-morrow | INSIGHTS,FORESIGHT,ANTHROPOLOGY,SEMIOTICS,INNOVATION | gemic | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | Gemic | Markets are made up of real people. Forward-looking companies partner with us to reimagine their role in people's lives. | 89bdf537b17 | gemic | 13 | 1 | 20,181,104 | null | null | null | null | null | null |
0 | vectorizer = TfidfVectorizer(ngram_range=(1, 500))
| 1 | null | 2017-10-27 | 2017-10-27 22:33:16 | 2017-10-28 | 2017-10-28 02:37:36 | 12 | false | en | 2017-10-28 | 2017-10-28 02:45:06 | 1 | 1a4d9d5ba951 | 3.082075 | 4 | 0 | 0 | People occasionally posted job-related posts to my college Facebook group | 2 | Rocchio and KNN — Job post detection
People occasionally posted job-related posts to my college Facebook group
Example 01
Example 02
post like this often get a response for a person, to direct them to a specific group
Example
yea, Ollie , this is for you
Wouldn’t be easier if you can automate it
Seriously, this is lite... | Rocchio and KNN — Job post detection | 4 | rocchio-and-knn-job-post-detection-1a4d9d5ba951 | 2018-05-16 | 2018-05-16 11:49:37 | https://medium.com/s/story/rocchio-and-knn-job-post-detection-1a4d9d5ba951 | false | 459 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Kiu Lam | Kiu at work; Nicolas outside; | 13ed0567ad4b | kiulam | 5 | 0 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | a0cad8bd07a5 | 2018-07-18 | 2018-07-18 09:16:36 | 2018-07-18 | 2018-07-18 09:20:07 | 1 | false | en | 2018-07-18 | 2018-07-18 09:20:07 | 2 | 1a4ef26fdb1a | 1.015094 | 0 | 0 | 0 | Please welcome Ali Hosseini to the Fetch.AI team. Ali has a PhD and MSc in Artificial Intelligence from King’s College London, with a… | 5 | Photo by Christopher Burns on Unsplash
Kings College AI research and software engineer Ali Hosseini joins Fetch.AI
Please welcome Ali Hosseini to the Fetch.AI team. Ali has a PhD and MSc in Artificial Intelligence from King’s College London, with a background in Software Engineering. He’s had an excellent academic trac... | Kings College AI research and software engineer Ali Hosseini joins Fetch.AI | 0 | kings-college-ai-research-and-software-engineer-ali-hosseini-joins-fetch-ai-1a4ef26fdb1a | 2018-07-18 | 2018-07-18 09:20:08 | https://medium.com/s/story/kings-college-ai-research-and-software-engineer-ali-hosseini-joins-fetch-ai-1a4ef26fdb1a | false | 216 | AI and digital economics company | null | fetchaiplatform | null | Fetch.AI | info@fetch.ai | fetch-ai | BLOCKCHAIN TECHNOLOGY,CRYPTO,ARTIFICIAL INTELLIGENCE,MACHINE LEARNING,ECONOMICS | fetch_ai | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | Fetch.AI Team | null | 1e76c0da4d03 | foth | 9 | 2 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 7b837cf1fd73 | 2018-09-07 | 2018-09-07 23:47:11 | 2018-09-08 | 2018-09-08 07:59:45 | 2 | false | en | 2018-09-19 | 2018-09-19 10:10:28 | 5 | 1a501abbeb06 | 2.194654 | 12 | 0 | 0 | The Institution of Engineering and Technology (IET) is a global non-profit headquartered in the UK. It is one of the world’s largest… | 3 | A tale of two A’s — From Accra to Astana
The Institution of Engineering and Technology (IET) is a global non-profit headquartered in the UK. It is one of the world’s largest engineering institutions with over 168,000 members in 150 countries. Being multidisciplinary, the organization reflects the increasingly diverse n... | A tale of two A’s — From Accra to Astana | 167 | https-medium-com-j-jamilafarouk-a-tale-of-two-as-from-accra-to-astana-1a501abbeb06 | 2018-09-19 | 2018-09-19 10:10:28 | https://medium.com/s/story/https-medium-com-j-jamilafarouk-a-tale-of-two-as-from-accra-to-astana-1a501abbeb06 | false | 480 | The official Journal blog | blog.usejournal.com | usejournal | null | Noteworthy - The Journal Blog | null | did-you-know-the-journal-blog | STARTUP,PRODUCTIVITY,ENTREPRENEURSHIP,TECH,TECHNOLOGY | usejournal | Presentation Skills | presentation-skills | Presentation Skills | 284 | Jamila Farouk Jawula | Data | Knowledge | Action | f7afa97cb22a | j.jamilafarouk | 21 | 15 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | f5af2b715248 | 2018-06-17 | 2018-06-17 14:52:58 | 2018-09-21 | 2018-09-21 06:11:32 | 4 | false | en | 2018-09-21 | 2018-09-21 23:56:01 | 4 | 1a50ecc2ce06 | 4.367925 | 10 | 0 | 0 | Chatbots are great but aren’t for some businesses | 5 | 5 Reasons Why Your Business Doesn’t Need Chatbots
credit: giphy.com
I have been in the artificial intelligence and chatbots business for more then a year now. This is a short time in most industries but in the Ai world that’s a heck of a long time.
I learned a few things along the way and while I truly believe that art... | 5 Reasons Why Your Business Doesn’t Need Chatbots | 122 | 5-reasons-why-your-business-dont-need-chatbots-1a50ecc2ce06 | 2018-09-21 | 2018-09-21 23:56:01 | https://medium.com/s/story/5-reasons-why-your-business-dont-need-chatbots-1a50ecc2ce06 | false | 972 | Medium's largest publication for makers. Subscribe to receive our top stories here → https://goo.gl/zHcLJi | null | null | null | The Startup | null | swlh | STARTUP,TECH,ENTREPRENEURSHIP,DESIGN,LIFE | thestartup_ | Bots | bots | Bots | 14,158 | Carl Dombrowski | The Startup & Toward Data Science Medium Writer, Ai, ML & NLP coder. CEO of WeBots | 7788560c42c7 | carldombrowski | 316 | 239 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-04-09 | 2018-04-09 21:13:41 | 2018-04-13 | 2018-04-13 14:29:54 | 1 | false | en | 2018-04-13 | 2018-04-13 14:29:54 | 11 | 1a52439c0e6d | 1.158491 | 3 | 2 | 0 | AIΞVE, our artificial intelligence with unequalled abilities! | 5 | We are all AIΞVE [Mask Contest ]
AIΞVE, our artificial intelligence with unequalled abilities!
The AIs are developing at high speed and we are about to witness something spectacular!
Furthermore, Peculium offers you the possibility to win PCL with a selfie!
By joining the movement “We are all AIΞVE” you can contribute ... | We are all AIΞVE [Mask Contest ] | 126 | we-are-all-aiξve-mask-contest-1a52439c0e6d | 2018-04-21 | 2018-04-21 05:05:20 | https://medium.com/s/story/we-are-all-aiξve-mask-contest-1a52439c0e6d | false | 254 | null | null | null | null | null | null | null | null | null | Blockchain | blockchain | Blockchain | 265,164 | Peculium | The first Savings Platform powered by Smart-Contracts & Artificial Intelligence giving you peace of mind while investing | 827c278cc4df | Peculium | 581 | 20 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-06-26 | 2018-06-26 09:28:47 | 2018-06-26 | 2018-06-26 10:48:09 | 1 | false | en | 2018-06-26 | 2018-06-26 10:48:09 | 1 | 1a52b41a41b2 | 0.883019 | 1 | 0 | 0 | For today the development of information technologies progresses with racing car speed. Computers, gadgets and “smart” devices have filled… | 5 | How to Use Artificial Intelligence (AI) in Mobile Apps?
For today the development of information technologies progresses with racing car speed. Computers, gadgets and “smart” devices have filled all spheres of our life from entertainment to education, medicine, and economics.
Computers provide security systems, listen... | How to Use Artificial Intelligence (AI) in Mobile Apps? | 1 | how-to-use-artificial-intelligence-ai-in-mobile-apps-1a52b41a41b2 | 2018-06-26 | 2018-06-26 10:48:09 | https://medium.com/s/story/how-to-use-artificial-intelligence-ai-in-mobile-apps-1a52b41a41b2 | false | 181 | null | null | null | null | null | null | null | null | null | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | Mind Studios | Need a mobile or web solution? We make mobile and web products that turn into brands. https://themindstudios.com | 8643be93cf73 | MindStudios | 134 | 228 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-08-30 | 2018-08-30 02:21:55 | 2018-08-30 | 2018-08-30 03:21:04 | 0 | false | en | 2018-10-10 | 2018-10-10 12:11:26 | 4 | 1a52f0110deb | 1.588679 | 1 | 0 | 0 | I believe that the top 1% in the world is achievable if you do things today that other people are not willing to. Why you become the top 1%… | 5 | Introduction To Machine Learning
I believe that the top 1% in the world is achievable if you do things today that other people are not willing to. Why you become the top 1% in the world is because you can now do things that they can’t.
Learning AI was my goal for 2019 but then I asked myself, why can’t it be done now? ... | Introduction To Machine Learning | 3 | introduction-to-machine-learning-1a52f0110deb | 2018-10-10 | 2018-10-10 12:11:26 | https://medium.com/s/story/introduction-to-machine-learning-1a52f0110deb | false | 421 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Muriithi_Kabogo | Tech Enthusiast and Everything business | be24f368b206 | muriithi_kabogo | 48 | 52 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | dda65fb0548d | 2018-03-08 | 2018-03-08 12:23:58 | 2018-03-12 | 2018-03-12 09:09:25 | 3 | false | en | 2018-03-14 | 2018-03-14 12:02:15 | 5 | 1a5434508635 | 5.165094 | 53 | 11 | 0 | TL;DR: Using past interaction data, MakeMyTrip personalized hotel ranking for each individual user to get more than 30% upside in… | 2 | The “My” in MakeMyTrip: How Per-User Personalization Boosted Conversion at MMT
TL;DR: Using past interaction data, MakeMyTrip personalized hotel ranking for each individual user to get more than 30% upside in conversion.
Hotel ranking tries to solve the hotel discovery problem for users. For a given user at a given tim... | The “My” in MakeMyTrip: How Per-User Personalization Boosted Conversion at MMT | 268 | personalized-hotel-ranking-using-past-interaction-data-1a5434508635 | 2018-06-18 | 2018-06-18 12:36:48 | https://medium.com/s/story/personalized-hotel-ranking-using-past-interaction-data-1a5434508635 | false | 1,223 | MakeMyTrip Engineering & Data Science | null | null | null | MakeMyTrip-Engineering | piyush.kumar@makemytrip.com | makemytrip-engineering | MAKEMYTRIP ENGINEERING,TECHNOLOGY,DATA SCIENCE | makemytrip_tech | Data Science | data-science | Data Science | 33,617 | Goutham Tholpadi | null | 8de9cedaaf85 | gtholpadi | 25 | 3 | 20,181,104 | null | null | null | null | null | null |
0 | cd "C:\Program Files\MongoDB\Server\3.4\bin"
mongod --dbpath "D:\data"
use pokemon
db.pokemon.insert({
_id: ObjectId(),
title: 'Pokedex',
description: 'Pokedex is the pokemon database',
pkid: '001',
pkname: 'Chamander',
pktype: 'Fire',
pkevol: 16
})
db.pokemon... | 5 | 85a4000a95d7 | 2017-11-15 | 2017-11-15 03:32:48 | 2017-11-15 | 2017-11-15 07:17:37 | 10 | false | th | 2017-11-18 | 2017-11-18 11:57:26 | 9 | 1a5522579b27 | 2.476415 | 10 | 2 | 0 | เดี๋ยวๆนะ MongoDB คืออะไรหว่า หลายคนก็คงเคยได้ยินมาเยอะแยะมากมาย แต่ส่วนใหญ่อาจจะยังไม่เคยได้ลองเล่นกับมัน วันนี้ก็เลยจะลองแชร์… | 5 | เมื่อลองจับ MongoDB ครั้งแรก #หิวเลย
นั่นมัน Mango !!
เดี๋ยวๆนะ MongoDB คืออะไรหว่า หลายคนก็คงเคยได้ยินมาเยอะแยะมากมาย แต่ส่วนใหญ่อาจจะยังไม่เคยได้ลองเล่นกับมัน วันนี้ก็เลยจะลองแชร์ ประสบการณ์ที่ได้เรียนมาอันน้อยนิดแชร์กันนะครับ (รูปไม่เกี่ยวแต่อย่างใด 5555+)
MongoDB คือ โปรแกรมช่วยจัดการฐานข้อมูลในรูปแบบ NoSQL (Not on... | เมื่อลองจับ MongoDB ครั้งแรก #หิวเลย | 21 | mongodb-tutorial-beginner-step-1a5522579b27 | 2018-05-29 | 2018-05-29 01:53:07 | https://medium.com/s/story/mongodb-tutorial-beginner-step-1a5522579b27 | false | 325 | หลัก | null | BigDataEng | null | BigDataEng | null | bigdataeng | BIG DATA,DATA SCIENCE,IOT,MACHINE LEARNING,ARTIFICIAL INTELLIGENCE | null | Mongodb | mongodb | Mongodb | 2,313 | Boyd BigData RPG | Data Scientist, DigitalMarketer, Biotechnologist; BS Biot30 KU69, ME Big Data Engineering03 DPU | f0eb1b89a86d | boydbigdatarpg | 176 | 161 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 9bd9e9b90eb4 | 2018-01-26 | 2018-01-26 11:29:07 | 2018-01-31 | 2018-01-31 14:17:43 | 1 | false | en | 2018-02-06 | 2018-02-06 09:36:24 | 5 | 1a55cf20ed49 | 4.713208 | 37 | 2 | 0 | This is the second post in a series explaining how to achieve real-time smile detection using deeplearn.js. | 5 | Building a real-time smile detection app with deeplearn.js and the web shape detection API — Part 2: Image Processing
This is the second post in a series explaining how to achieve real-time smile detection using deeplearn.js.
In this tutorial we are extracting the detected faces, ready to feed them into our neural netw... | Building a real-time smile detection app with deeplearn.js | 327 | building-a-real-time-smile-detection-app-with-deeplearn-js-1a55cf20ed49 | 2018-04-26 | 2018-04-26 13:05:05 | https://medium.com/s/story/building-a-real-time-smile-detection-app-with-deeplearn-js-1a55cf20ed49 | false | 1,196 | We partner with you to design the future, collaborating to launch, evolve and grow amazing businesses. | null | null | null | The Unit | hello@theunit.co.uk | the-unitgb | DIGITAL STRATEGY,DESIGN,TECHNOLOGY | TheUnitGB | Machine Learning | machine-learning | Machine Learning | 51,320 | Jozef Maxted 👻 | Senior Developer @TheUnitGB Prolific maker of digital things #js #computerart http://jozefmaxted.co.uk | 816666186cd6 | jozefmaxted | 109 | 62 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | aca00ea2a266 | 2018-01-02 | 2018-01-02 23:16:24 | 2018-01-03 | 2018-01-03 19:07:22 | 4 | false | en | 2018-06-23 | 2018-06-23 22:17:40 | 28 | 1a55d28cf8d | 6.492453 | 8 | 0 | 0 | This year has been nothing short of incredible here at Aifred Health. We kicked off 2017 with an application to the $5M IBM Watson AI… | 5 | Aifred in Review: A Start-Up’s First Year
This year has been nothing short of incredible here at Aifred Health. We kicked off 2017 with an application to the $5M IBM Watson AI XPRIZE competition, and are finishing the year in high spirits with our Milestone Award as one of the Top 2 teams moving forward in the competit... | Aifred in Review: A Start-Up’s First Year | 173 | aifred-in-review-a-start-ups-first-year-1a55d28cf8d | 2018-06-23 | 2018-06-23 22:17:40 | https://medium.com/s/story/aifred-in-review-a-start-ups-first-year-1a55d28cf8d | false | 1,535 | Clinical decision aid using machine learning to improve depression treatment efficacy. | null | aifredhealth | null | Aifred Health | info@aifredhealth.com | aifred-health | ARTIFICIAL INTELLIGENCE,MENTAL HEALTH,DEPRESSION,STARTUP,DEEP LEARNING | aifredhealth | Machine Learning | machine-learning | Machine Learning | 51,320 | Aifred Health | Clinical Decision Aid System using machine learning to increase treatment efficacy in psychiatry | aifredhealth.com | 12181684473 | aifred | 32 | 16 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-05-05 | 2018-05-05 07:47:13 | 2018-05-05 | 2018-05-05 08:02:40 | 0 | false | en | 2018-05-05 | 2018-05-05 08:02:40 | 1 | 1a573e3aea03 | 2.403774 | 0 | 0 | 0 | The global homomorphic encryption market is a very dynamic market and is expected to witness stable growth over the forecast period. The… | 4 | Global Homomorphic Encryption Market Report 2018
The global homomorphic encryption market is a very dynamic market and is expected to witness stable growth over the forecast period. The growth of the homomorphic encryption market is influenced by the growing demand for secured data transmission, growing investment in c... | Global Homomorphic Encryption Market Report 2018 | 0 | global-homomorphic-encryption-market-report-2018-1a573e3aea03 | 2018-05-05 | 2018-05-05 08:14:57 | https://medium.com/s/story/global-homomorphic-encryption-market-report-2018-1a573e3aea03 | false | 637 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Satya Kumar | null | 9a64725d30ed | kumarsat265 | 0 | 1 | 20,181,104 | null | null | null | null | null | null |
0 | package demo;
import ib.controller.ApiController;
import java.util.ArrayList;
public class ConnectionHandlerImplementation implements ApiController.IConnectionHandler {
@Override
public void connected() {
//Do something when connected
System.out.println("Connected");
}
@Override
... | 87 | 55a752f13ea5 | 2018-08-02 | 2018-08-02 19:26:29 | 2018-08-03 | 2018-08-03 15:45:55 | 7 | false | en | 2018-08-15 | 2018-08-15 12:57:53 | 11 | 1a5a200af260 | 11.453774 | 43 | 0 | 1 | Quantitative Development | 5 | Algorithmic Trading System Development
Quantitative Development
Often a Quantitative Researcher will develop trading models in Python or R. These models are then passed off to Quantitative Developers, who implement them in trading systems with Java or C++. Usually, a Quantitative Trader will then execute trades with t... | Algorithmic Trading System Development | 237 | algorithmic-trading-system-development-1a5a200af260 | 2018-08-19 | 2018-08-19 11:51:40 | https://medium.com/s/story/algorithmic-trading-system-development-1a5a200af260 | false | 2,757 | Auquan aims to to engage people from diverse backgrounds to apply the skills from their respective fields to develop high quality trading strategies. We believe that extremely talented people equipped with right knowledge and attitude can design successful trading algorithms. | null | tradewithauquan | null | auquan | info@auquan.com | auquan | ALGORITHMIC TRADING,TRADING,MACHINE LEARNING,FINANCE,INVESTING | tradewithauquan | Trading | trading | Trading | 19,801 | Roman Paolucci | Data Scientist | ba54f7458d02 | romanmichaelpaolucci | 50 | 1 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2017-12-12 | 2017-12-12 15:51:12 | 2017-12-17 | 2017-12-17 17:36:25 | 3 | false | en | 2017-12-18 | 2017-12-18 12:43:25 | 0 | 1a5a9ff4c3d8 | 1.957547 | 2 | 0 | 0 | This paper proposes a Temporal Context Network (TCN) for activity detection. The main contribution is showing that activity context… | 5 | Temporal Context Network for Activity Localization in Videos
This paper proposes a Temporal Context Network (TCN) for activity detection. The main contribution is showing that activity context improves activity detection accuracy. Similar to Faster R-CNN, the pipeline is divided into three steps: proposal generation, o... | Temporal Context Network for Activity Localization in Videos | 3 | temporal-context-network-for-activity-localization-in-videos-1a5a9ff4c3d8 | 2018-01-20 | 2018-01-20 20:10:49 | https://medium.com/s/story/temporal-context-network-for-activity-localization-in-videos-1a5a9ff4c3d8 | false | 373 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Ahmed Taha | I write reviews on computer vision papers. Writing tips are welcomed. | 996110eea09a | ahmdtaha | 43 | 1 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2017-11-20 | 2017-11-20 18:22:00 | 2017-11-20 | 2017-11-20 18:22:01 | 1 | false | en | 2017-11-20 | 2017-11-20 18:22:01 | 1 | 1a5ab40a568d | 1.445283 | 0 | 0 | 0 | null | 5 | Just the beginning: 6 applications for machine learning in radiology beyond image interpretation
Discussions about machine learning’s impact on radiology might begin with image interpretation, but that’s only the tip of the iceberg. When it comes to realizing the technology’s full potential, it’s like Bachman Turner O... | Just the beginning: 6 applications for machine learning in radiology beyond image interpretation | 0 | just-the-beginning-6-applications-for-machine-learning-in-radiology-beyond-image-interpretation-1a5ab40a568d | 2018-04-12 | 2018-04-12 14:34:15 | https://medium.com/s/story/just-the-beginning-6-applications-for-machine-learning-in-radiology-beyond-image-interpretation-1a5ab40a568d | false | 330 | null | null | null | null | null | null | null | null | null | Big Data | big-data | Big Data | 24,602 | Yves Mulkers | BI And Data Architect enjoying Family, Social Influencer , love Music and DJ-ing, founder @7wData, content marketing and influencer marketing in the Data world | 1335786e6357 | YvesMulkers | 17,594 | 8,294 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 1d905945e4a8 | 2018-08-20 | 2018-08-20 14:56:59 | 2018-08-20 | 2018-08-20 15:06:11 | 3 | false | en | 2018-08-23 | 2018-08-23 11:17:17 | 3 | 1a5ae04082e6 | 3.15 | 2 | 0 | 0 | The cloud market might experience a notable change in competition. Multicloud could be the coming USP and a way of innovative… | 5 | From «X-as-a-Service» to «Everything-as-a-Service»
The cloud market might experience a notable change in competition. Multicloud could be the coming USP and a way of innovative differentiation.
In an earlier article, I emphasized on the importance of an infrastructure that is able to cope with new modern initiatives a... | From «X-as-a-Service» to «Everything-as-a-Service» | 25 | from-x-as-a-service-to-everything-as-a-service-1a5ae04082e6 | 2018-08-24 | 2018-08-24 08:34:13 | https://medium.com/s/story/from-x-as-a-service-to-everything-as-a-service-1a5ae04082e6 | false | 689 | The digital world of n'cloud is exactly how the world turns today. Changing, moving and in full motion. Explore the opportunity of getting the latest news and publications on interesting topics such as innovation, technology, cloud computing, blockchain, ICOs, AI and many more. | null | netkomitservices | null | n'world publications | yma@ncloud.swiss | nworld-publications | CLOUD COMPUTING,BLOCKCHAIN,AI,ICO,INNOVATION | ncloudswiss | Cloud Computing | cloud-computing | Cloud Computing | 22,811 | Yahya Mohamed Mao | Head of Marketing Services at n'cloud.swiss AG | Writing about Cloud Computing, Innovation Management, Blockchain and AI | Aspiring to write for Forbes | 93d9bd922ecb | yahyaibnmohamed | 1,203 | 617 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-09-13 | 2018-09-13 05:53:09 | 2018-09-13 | 2018-09-13 06:14:55 | 0 | false | en | 2018-09-13 | 2018-09-13 06:14:55 | 0 | 1a5b066bd1af | 0.596226 | 0 | 0 | 0 | There are several splitters in sklearn.model_selection to split data into train and validation data, here I will introduce two kinds of… | 1 | Splitters in sklearn
There are several splitters in sklearn.model_selection to split data into train and validation data, here I will introduce two kinds of them: KFold and ShuffleSplit.
KFold
Split data into k folds of same sizes, each time uses one fold as validation data and others as train data. To access the data,... | Splitters in sklearn | 0 | splitters-in-sklearn-1a5b066bd1af | 2018-09-13 | 2018-09-13 06:14:55 | https://medium.com/s/story/splitters-in-sklearn-1a5b066bd1af | false | 158 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Shao Wang | Machine Learning, Artificial Intelligence | 364d1cf7becd | wsdonny | 0 | 14 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 7806e848e54a | 2018-08-20 | 2018-08-20 14:48:42 | 2018-08-20 | 2018-08-20 14:53:23 | 2 | false | en | 2018-09-11 | 2018-09-11 14:22:46 | 4 | 1a5b33b3b1e2 | 6.005975 | 5 | 0 | 0 | Reminiz was asked by brands to test tags’ accuracy when bidding on YouTube video keywords. Our results showed that using celebrities’ names… | 5 | What lies behind YouTube Search infinite results
Reminiz was asked by brands to test tags’ accuracy when bidding on YouTube video keywords. Our results showed that using celebrities’ names to target videos, brands miss their target 4 out of 10 times
It happens way more than you’d wish: the answer does not match the req... | What lies behind YouTube Search infinite results | 23 | what-lies-behind-youtube-search-infinite-results-1a5b33b3b1e2 | 2018-09-11 | 2018-09-11 14:22:46 | https://medium.com/s/story/what-lies-behind-youtube-search-infinite-results-1a5b33b3b1e2 | false | 1,490 | Reminiz is a world pioneer video understanding technology offering real-time facial and logo recognition. Augmented Content for a never-seen viewer experience. | null | null | null | Reminiz Insights | null | reminiz-insights | ARTIFICIAL INTELLIGENCE,FACIAL RECOGNITION,ADVERTISING TECHNOLOGY,MEDIA,VIDEO MARKETING | reminizapp | Advertising | advertising | Advertising | 42,520 | Paul Chaumont | Product Manager at Reminiz | ec3e3a9f2193 | paul.chaumont | 7 | 13 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-09-16 | 2018-09-16 04:43:25 | 2018-09-16 | 2018-09-16 22:22:53 | 1 | false | en | 2018-09-20 | 2018-09-20 05:19:44 | 0 | 1a5d42934fd1 | 2.992453 | 0 | 0 | 0 | It is always a good idea to attend conferences to know what is new and meet interesting people who work in the amazing Bay area. Here is a… | 3 | My @scale conference experience
Credits — Uber engineering — Michalangelo ML infrastructure
It is always a good idea to attend conferences to know what is new and meet interesting people who work in the amazing Bay area. Here is a summary of events that I attended at the @scale conference this year -
Women’s Leadership... | My @scale conference experience | 0 | my-scale-conference-experience-1a5d42934fd1 | 2018-09-20 | 2018-09-20 05:19:44 | https://medium.com/s/story/my-scale-conference-experience-1a5d42934fd1 | false | 740 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Prajakta H | Engineer interested in making the world a better place. Passionate about testing. Works @Nvidia. The opinions in the blog are my own. | 12c13b9180c1 | prajaktahegde | 1 | 7 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-03-04 | 2018-03-04 00:22:22 | 2018-03-04 | 2018-03-04 00:33:44 | 0 | false | en | 2018-06-25 | 2018-06-25 23:17:28 | 2 | 1a5eb9f0940d | 0.573585 | 0 | 0 | 0 | This post is a part of Jeff’s 12-month, accelerated learning project called “Month to Master.” For February, he is downloading the ability… | 4 | M2M Day 62–One thousand Swipes
This post is a part of Jeff’s 12-month, accelerated learning project called “Month to Master.” For February, he is downloading the ability to build an AI.
Now that I have the image extraction program built, I’ll just need to extract and hand-label about 1000 images manually. Here’s a vide... | M2M Day 62–One thousand Swipes | 0 | m2m-day-62-one-thousand-swipes-1a5eb9f0940d | 2018-06-25 | 2018-06-25 23:17:28 | https://medium.com/s/story/m2m-day-62-one-thousand-swipes-1a5eb9f0940d | false | 152 | null | null | null | null | null | null | null | null | null | Learning | learning | Learning | 37,342 | Jeffrey Li | Accelerated Learning Fanatic | Data Scientist | Educator | 3899f1e86899 | dj.jeffmli | 275 | 143 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 24b00b47988d | 2018-06-14 | 2018-06-14 09:26:44 | 2018-06-14 | 2018-06-14 10:39:33 | 3 | false | zh-Hant | 2018-06-14 | 2018-06-14 10:40:15 | 2 | 1a60ea1eb2c7 | 0.829245 | 0 | 0 | 0 | 這次來稍稍得比較一下一些常見的分類模型 | 3 | Machine Learning 分類模型的比較
這次來稍稍得比較一下一些常見的分類模型
有了這麼多種分類的模型可以使用
到底這些模型之間使用起來到底有沒有什麼樣的差異呢？
一般在做Machine Learning 的模型，最重要的就是準確性的問題，其次就是運算資源的問題
這兩個是在實際運用模型的時候，常常需要考慮的問題
所以這邊就簡單的把常見的分類模型拿出來做一個比較～
這邊要比較的分類模型是下面幾種：
K-nearest neighbors
Logistic Regression
Decision Tree
Support Vector Machine
Neural Network
為求問題簡單化一點
這邊使用的資料是Sklea... | Machine Learning 分類模型的比較 | 0 | machine-learning-分類模型的比較-1a60ea1eb2c7 | 2018-06-14 | 2018-06-14 10:40:16 | https://medium.com/s/story/machine-learning-分類模型的比較-1a60ea1eb2c7 | false | 74 | 紀錄所想、所見、所聞、所感動 | null | yucheng.adam | null | 無邊拼圖框 | aabbzztw@gmail.com | 無邊拼圖框 | DATA SCIENCE,ARTIFICIAL INTELLIGENCE,MACHINE LEARNING | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Chang Yu-Cheng | 致力於探索信息中的價值；應用數據科學的技術，在充滿不確定性中的未來不斷地尋找可以被掌握的事物 | 26bd1d9cd66b | AdamCheng | 1 | 2 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-02-05 | 2018-02-05 11:16:56 | 2018-02-05 | 2018-02-05 11:18:46 | 2 | false | en | 2018-02-05 | 2018-02-05 11:18:46 | 3 | 1a62ced19fb7 | 6.911635 | 0 | 0 | 0 | There’s been an explosion of interest in ethics, responsible AI and bias in recent years. When built, cultivated and deployed with the… | 1 | As Our AI Systems Become More Capable, Should Ethics be an Integral Component to your Business Strategy?
There’s been an explosion of interest in ethics, responsible AI and bias in recent years. When built, cultivated and deployed with the right human oversight, AI has the potential to do significantly more good for t... | As Our AI Systems Become More Capable, Should Ethics be an Integral Component to your Business… | 0 | as-our-ai-systems-become-more-capable-should-ethics-be-an-integral-component-to-your-business-1a62ced19fb7 | 2018-02-05 | 2018-02-05 11:18:47 | https://medium.com/s/story/as-our-ai-systems-become-more-capable-should-ethics-be-an-integral-component-to-your-business-1a62ced19fb7 | false | 1,730 | null | null | null | null | null | null | null | null | null | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | RE•WORK | Applying emerging technology & science to solve challenges in business and society. Deep Learning, Machine Intelligence & more! https://www.re-work.co/ | 3ae910353b87 | teamrework | 3,032 | 1,075 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2017-09-26 | 2017-09-26 17:30:30 | 2017-11-27 | 2017-11-27 14:26:24 | 3 | false | en | 2017-11-27 | 2017-11-27 14:53:54 | 5 | 1a62e486e5e1 | 4.85566 | 5 | 1 | 0 | The Ig® Nobel prizes are awarded each year in early September. They are awarded to research that “makes you laugh, then makes you think”… | 5 | Rocking your Brand Personality
The Ig® Nobel prizes are awarded each year in early September. They are awarded to research that “makes you laugh, then makes you think”. Many times, the research gets a small amount of air time during this time of year, then dies down quickly. This year, I decided to scroll down to reac... | Rocking your Brand Personality | 12 | rocking-your-brand-personality-1a62e486e5e1 | 2018-06-08 | 2018-06-08 14:22:15 | https://medium.com/s/story/rocking-your-brand-personality-1a62e486e5e1 | false | 1,141 | null | null | null | null | null | null | null | null | null | Marketing | marketing | Marketing | 170,910 | Stef Bernosky | Data Scientist @ Expedia. Lover of trails, travel, Data and Earth Science. Enjoys long strolls through the mountains. | 4368e05c9dbc | stefbernosky | 92 | 60 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-07-02 | 2018-07-02 12:39:02 | 2018-07-02 | 2018-07-02 13:01:39 | 1 | false | en | 2018-07-02 | 2018-07-02 13:01:39 | 0 | 1a6346e570c1 | 1.003774 | 0 | 0 | 0 | It has been a while since I’ve been able to update this — my free time due to my internship, research, online class, and traveling has been… | 5 | 51Majority Projection Update: 7/1/18
It has been a while since I’ve been able to update this — my free time due to my internship, research, online class, and traveling has been somewhat limited during the past month. I’m glad I was able to find time last night to get another projection working. Hopefully I will be able... | 51Majority Projection Update: 7/1/18 | 0 | 51majority-projection-update-7-1-18-1a6346e570c1 | 2018-07-02 | 2018-07-02 13:01:39 | https://medium.com/s/story/51majority-projection-update-7-1-18-1a6346e570c1 | false | 213 | null | null | null | null | null | null | null | null | null | Politics | politics | Politics | 260,013 | Ajay Jain | Statistics & Computer Science and Political Science student at the University of Illinois. Interested in political analytics and data science. | 83ff4c27c062 | theajayjain | 47 | 62 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-02-28 | 2018-02-28 07:01:42 | 2018-02-28 | 2018-02-28 06:49:31 | 2 | false | en | 2018-02-28 | 2018-02-28 07:04:37 | 8 | 1a63fcead263 | 2.655031 | 0 | 0 | 0 | Australian government agencies dominate our round-up this week — ASIC and the Office of the Gene Technology Regulator both get shout-outs… | 5 | Rare Birds: The AI Dispatch #7
Australian government agencies dominate our round-up this week — ASIC and the Office of the Gene Technology Regulator both get shout-outs for embracing the possibilities of new technology.
On the other side of the proverbial ring are the 26 experts who penned a 100-page report on why AI ... | Rare Birds: The AI Dispatch #7 | 0 | rare-birds-the-ai-dispatch-7-1a63fcead263 | 2018-02-28 | 2018-02-28 07:04:39 | https://medium.com/s/story/rare-birds-the-ai-dispatch-7-1a63fcead263 | false | 602 | null | null | null | null | null | null | null | null | null | Banking | banking | Banking | 14,612 | Rare Birds | We build software with brilliant, globally connected teams to make the world a better place. http://rarebirds.io | 93402fbb6135 | rarebirdslabs | 1 | 1 | 20,181,104 | null | null | null | null | null | null |
0 | # Load libraries
import pandas
from sklearn import model_selection
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
from sklearn.neighbors import KNeighborsClassifier
# Load dataset
url = “https://archive.ics.uci.edu/ml/machine-le... | 8 | null | 2018-03-04 | 2018-03-04 09:49:54 | 2018-03-04 | 2018-03-04 10:16:56 | 5 | false | en | 2018-03-04 | 2018-03-04 10:24:24 | 2 | 1a64268c1b45 | 4.837107 | 1 | 0 | 0 | It is nearly impossible for humans to understand decisions made by machine learning algorithms. Of course, you can explain the maths behind… | 5 | Machines learning about machines
It is nearly impossible for humans to understand decisions made by machine learning algorithms. Of course, you can explain the maths behind these algorithms but, especially if huge amounts of data are involved, those decisions are hard to grasp.
In the context of the Internet of Things ... | Machines learning about machines | 4 | machines-learning-about-machines-1a64268c1b45 | 2018-03-08 | 2018-03-08 07:37:10 | https://medium.com/s/story/machines-learning-about-machines-1a64268c1b45 | false | 1,061 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Benjamin Freisberg | Mathematician, developer, teacher and co-founder of Byrds & Bytes | 193816503f1f | hello_85458 | 9 | 3 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-04-30 | 2018-04-30 12:01:12 | 2018-04-30 | 2018-04-30 12:04:33 | 4 | false | en | 2018-04-30 | 2018-04-30 12:04:33 | 8 | 1a6450c6ea6d | 3.088679 | 1 | 0 | 0 | Robotic Process Automation (RPA) technology, although a relatively new technology, has managed to gain increasing attention in the… | 5 | Top-5 Benefits of Robotics Process Automation (RPA) Adoption for Your Company
Robotic Process Automation (RPA) technology, although a relatively new technology, has managed to gain increasing attention in the corporate world over the past couple of years. Business owners and CTOs alike are beginning to take notice.
RP... | Top-5 Benefits of Robotics Process Automation (RPA) Adoption for Your Company | 7 | top-5-benefits-of-robotics-process-automation-rpa-adoption-for-your-company-1a6450c6ea6d | 2018-04-30 | 2018-04-30 12:37:44 | https://medium.com/s/story/top-5-benefits-of-robotics-process-automation-rpa-adoption-for-your-company-1a6450c6ea6d | false | 633 | null | null | null | null | null | null | null | null | null | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | Simanta Sarkar | Branding and Communications Manager at ProV | d8cd9cbfeb15 | simanta.sarkar | 1 | 15 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 3950f63b7006 | 2017-11-07 | 2017-11-07 06:48:54 | 2017-11-11 | 2017-11-11 20:03:15 | 23 | false | en | 2017-12-27 | 2017-12-27 07:35:30 | 3 | 1a64a3c004f1 | 10.892453 | 4 | 1 | 1 | LaTeX version: https://www.sharelatex.com/project/52295b43e77a8bec1401f6bc | 3 | From Restricted Boltzmann Machine to Deep Neural Network — Missing Links Explained
LaTeX version: https://www.sharelatex.com/project/52295b43e77a8bec1401f6bc
1. Introduction
Deep neural network (DNN) has been a hot topic in the community of speech processing in recent years [1]. People are eager to learn about the var... | From Restricted Boltzmann Machine to Deep Neural Network — Missing Links Explained | 14 | from-restricted-boltzmann-machine-to-deep-neural-network-missing-links-explained-1a64a3c004f1 | 2018-05-02 | 2018-05-02 03:34:59 | https://medium.com/s/story/from-restricted-boltzmann-machine-to-deep-neural-network-missing-links-explained-1a64a3c004f1 | false | 2,383 | Less is more. | null | null | null | Lex Parsimoniae | null | lex-parsimoniae | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Darren Yow-Bang Wang | A researcher/engineer with hands-on work experience of deep learning, machine learning, data science and software development. | e40b871f03a7 | ybdarrenwang | 3 | 5 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-02-16 | 2018-02-16 15:38:00 | 2018-02-26 | 2018-02-26 16:27:43 | 1 | false | en | 2018-03-09 | 2018-03-09 17:14:47 | 7 | 1a64dc3cf561 | 2.630189 | 1 | 0 | 0 | AI that bests humans at increasingly complex games like Go and Dota 2 may seem surprising, but it is actually pretty dull compared to what… | 1 | Cooperation —not superintelligence— is where the real AI revolution begins
AI that bests humans at increasingly complex games like Go and Dota 2 may seem surprising, but it is actually pretty dull compared to what cooperative AI will do. Don’t get me wrong, the latest improvements in robotics, deep learning, and proce... | Cooperation —not superintelligence— is where the real AI revolution begins | 8 | cooperation-not-superintelligence-is-where-the-real-ai-revolution-begins-1a64dc3cf561 | 2018-06-12 | 2018-06-12 07:23:49 | https://medium.com/s/story/cooperation-not-superintelligence-is-where-the-real-ai-revolution-begins-1a64dc3cf561 | false | 644 | null | null | null | null | null | null | null | null | null | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | Bruce Skarin | Father, Scientist, Independent | 588502fe52cd | bruceskarin | 194 | 194 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2017-10-30 | 2017-10-30 11:26:46 | 2017-10-30 | 2017-10-30 11:51:19 | 3 | false | en | 2017-10-30 | 2017-10-30 11:52:35 | 4 | 1a64de775565 | 2.448113 | 5 | 0 | 0 | The U.S. Bureau of Labor Statistics Census just issued a report confirming what most of us already know. Jobs in computers and mathematics… | 5 |
Don’t let Math Phobia Drive you from Analytics
The U.S. Bureau of Labor Statistics Census just issued a report confirming what most of us already know. Jobs in computers and mathematics, a category that includes data analytics, not only had the second highest median salary in 2016. It is also projected to have the sec... | Don’t let Math Phobia Drive you from Analytics | 6 | dont-let-math-phobia-drive-you-from-analytics-1a64de775565 | 2018-03-13 | 2018-03-13 02:12:09 | https://medium.com/s/story/dont-let-math-phobia-drive-you-from-analytics-1a64de775565 | false | 503 | null | null | null | null | null | null | null | null | null | Data Science | data-science | Data Science | 33,617 | Pasky Pascual | null | 35f1df95c3b2 | paskypascual | 8 | 1 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-09-20 | 2018-09-20 06:16:32 | 2018-09-20 | 2018-09-20 06:19:19 | 1 | false | en | 2018-09-20 | 2018-09-20 06:19:19 | 2 | 1a6515d58dc8 | 0.411321 | 0 | 0 | 0 | null | 2 | Applications of Artificial Intelligence: AI for Recruiting
Applications of Artificial Intelligence: AI for Recruiting - RecruitGyan
One of the most trending topics in HR these days is AI recruitment. The term explains an emerging technology that has…recruitgyan.com
RecruitGyan (@GyanRecruit) | Twitter
The latest Twee... | Applications of Artificial Intelligence: AI for Recruiting | 0 | applications-of-artificial-intelligence-ai-for-recruiting-1a6515d58dc8 | 2018-09-20 | 2018-09-20 06:19:19 | https://medium.com/s/story/applications-of-artificial-intelligence-ai-for-recruiting-1a6515d58dc8 | false | 56 | null | null | null | null | null | null | null | null | null | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | Recruit Gyan | Inspired by Gyan, which means knowledge in Sanskrit, RecruitGyan strives to be an objective industry lighthouse to both candidates and clients. | 49eeaa388162 | recruitgyan | 1 | 65 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-07-26 | 2018-07-26 20:20:37 | 2018-09-19 | 2018-09-19 19:31:02 | 0 | false | en | 2018-09-19 | 2018-09-19 19:31:02 | 7 | 1a666c6e6dc6 | 1.030189 | 1 | 0 | 1 | In the first two entries of Startup Watch, we looked at BenevolentAI, a London-based company that uses artificial intelligence to… | 5 | Startup Watch: Adding machine learning to business with SparkCognition
In the first two entries of Startup Watch, we looked at BenevolentAI, a London-based company that uses artificial intelligence to accelerate drug discovery, and x.ai, a New York City startup that offers NLP-powered AI assistants to help with schedul... | Startup Watch: Adding machine learning to business with SparkCognition | 1 | startup-watch-adding-machine-learning-to-business-with-sparkcognition-1a666c6e6dc6 | 2018-09-19 | 2018-09-19 19:31:02 | https://medium.com/s/story/startup-watch-adding-machine-learning-to-business-with-sparkcognition-1a666c6e6dc6 | false | 273 | null | null | null | null | null | null | null | null | null | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | #ODSC - The Data Science Community | Our passion is bringing thousands of the best and brightest data scientists together under one roof for an incredible learning and networking experience. | 2b9d62538208 | ODSC | 665 | 19 | 20,181,104 | null | null | null | null | null | null |
0 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import scipy.optimize as opt # more on this later
data = pd.read_csv('ex2data1.txt', header = None)
X = data.iloc[:,:-1]
y = data.iloc[:,2]
data.head()
mask = y == 1
adm = plt.scatter(X[mask][0].values, X[mask][1].values)
not_adm = plt.scatter(... | 14 | 7219b4dc6c4c | 2018-09-02 | 2018-09-02 12:35:53 | 2018-09-04 | 2018-09-04 05:38:25 | 4 | false | en | 2018-09-15 | 2018-09-15 11:50:51 | 4 | 1a666f049ad6 | 5.24717 | 68 | 5 | 2 | In my previous post we had discussed about Pythonic implementation of Linear Regression with Single and Multiple independent variables as… | 4 | Python Implementation of Andrew Ng’s Machine Learning Course (Part 2.1)
In my previous post we had discussed about Pythonic implementation of Linear Regression with Single and Multiple independent variables as part of week 1 and week 2 programming assignment. Now we will move to week 3 content i.e., Logistic Regressio... | Python Implementation of Andrew Ng’s Machine Learning Course (Part 2.1) | 444 | python-implementation-of-andrew-ngs-machine-learning-course-part-2-1-1a666f049ad6 | 2018-09-15 | 2018-09-15 11:50:51 | https://medium.com/s/story/python-implementation-of-andrew-ngs-machine-learning-course-part-2-1-1a666f049ad6 | false | 1,205 | Analytics Vidhya is a community of Analytics and Data Science professionals. We are building the next-gen data science ecosystem https://www.analyticsvidhya.com | null | analyticsvidhya | null | Analytics Vidhya | medium@analyticsvidhya.com | analytics-vidhya | MACHINE LEARNING,ARTIFICIAL INTELLIGENCE,DEEP LEARNING,DATA SCIENCE,PYTHON | analyticsvidhya | Machine Learning | machine-learning | Machine Learning | 51,320 | Srikar | null | afc1c8c8f5bc | srikarplus | 603 | 8 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2017-11-10 | 2017-11-10 07:02:55 | 2017-11-10 | 2017-11-10 07:04:22 | 1 | false | en | 2017-11-10 | 2017-11-10 07:04:49 | 1 | 1a66a2dfbb6d | 2.098113 | 0 | 0 | 0 | Today we will discuss about the past, present and the future that holds true for AI. The Falling Walls annual conference that is held in… | 3 | AI to surpass humankind and biology
AI and the near future; The Falling Walls Conference 2017
Today we will discuss about the past, present and the future that holds true for AI. The Falling Walls annual conference that is held in Berlin from 8th to 9th November every year will make 2017 special by discussing on the po... | AI to surpass humankind and biology | 0 | ai-to-surpass-humankind-and-biology-1a66a2dfbb6d | 2018-03-08 | 2018-03-08 10:52:17 | https://medium.com/s/story/ai-to-surpass-humankind-and-biology-1a66a2dfbb6d | false | 503 | null | null | null | null | null | null | null | null | null | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | Rplanx Technology Private Limited | We provide top notch development support in Blockchain, AI and IoT solutions. Get extensive Technology services and project delivery route maps. | ad5f65157fc3 | RPlanX_Tech | 2 | 5 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 7404f5b5b342 | 2018-07-07 | 2018-07-07 03:59:01 | 2018-07-07 | 2018-07-07 04:08:02 | 1 | false | pt | 2018-07-07 | 2018-07-07 04:08:02 | 2 | 1a6a0f48435e | 0.562264 | 3 | 0 | 0 | Hoje foi meu primeiro dia no desafio lançado pelo Siraj de 100 dias de Machine Learning Code. Neste desafio quem “topar”fazer, deve dedicar… | 2 |
100 Days of ML Code — Day 1
Hoje foi meu primeiro dia no desafio lançado pelo Siraj de 100 dias de Machine Learning Code. Neste desafio quem “topar”fazer, deve dedicar ao menos 1 hora por dia para estudar/codificar algo relacionado a ML. Espera-se que ao final do desafio a pessoa tenha tenho desenvolvido um projeto ou... | 100 Days of ML Code — Day 1 | 26 | 100-days-of-ml-code-day-1-1a6a0f48435e | 2018-07-07 | 2018-07-07 04:08:02 | https://medium.com/s/story/100-days-of-ml-code-day-1-1a6a0f48435e | false | 96 | Machine Learning | Musica | Tecnologia | null | john.theo.souza | null | johntheology | john.theo.souza@gmail.com | johntheology | MUSIC,TECHNOLOGY,MACHINE LEARNING,COMPUTER SCIENCE | john_theo | Machine Learning | machine-learning | Machine Learning | 51,320 | John Theo | Engenheiro da Computação, musico, esposo, pai. Buscando acertar os detalhes da vida com muita arte. | 47b7d050199 | johntheo | 110 | 131 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-08-09 | 2018-08-09 10:14:16 | 2018-08-09 | 2018-08-09 10:17:31 | 1 | false | en | 2018-08-09 | 2018-08-09 10:17:31 | 12 | 1a6ac6fc8f0 | 1.25283 | 1 | 1 | 0 | AI and Stochastic optimization part 1 | 5 | How ServAdvisor Works — Artificial Intelligence
AI and Stochastic optimization part 1
In fact, many phenomena observed in the physical universe are actually best modeled with nonlinear transformations. We use this in ServAdvisor process modeling for transformations between system inputs and the target output in machin... | How ServAdvisor Works — Artificial Intelligence | 50 | how-servadvisor-works-artificial-intelligence-1a6ac6fc8f0 | 2018-08-09 | 2018-08-09 10:17:31 | https://medium.com/s/story/how-servadvisor-works-artificial-intelligence-1a6ac6fc8f0 | false | 279 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | ServAdvisor | null | 64017f48c363 | ServAdvisor | 32 | 1 | 20,181,104 | null | null | null | null | null | null |
0 | Number of colors selected on slicer = IF(ISFILTERED(flagInfo[details]), COUNTROWS(ALLSELECTED(flagInfo[details])), 0)
PBISlicer Check =
IF([Number of colors selected on slicer] = 0, 1,
IF(DISTINCTCOUNT(flagInfo[details]) = [Number of colors selected on slicer], 1, 0))
PBISlicer Country Count =
CALCULATE(COUNTROWS(... | 7 | 7500d0eb69cc | 2018-05-14 | 2018-05-14 20:15:34 | 2018-05-16 | 2018-05-16 16:56:11 | 8 | false | en | 2018-08-03 | 2018-08-03 18:29:20 | 7 | 1a6b20aee5f5 | 5.171069 | 8 | 1 | 0 | Goal: Create the necessary calculated fields to change “OR” to “AND” logic for Power BI slicers (native slicer and the hierarchySlicer). | 5 | Changing “OR” to “AND” Logic for Power BI Slicers
Goal: Create the necessary calculated fields to change “OR” to “AND” logic for Power BI slicers (native slicer and the hierarchySlicer).
I have been using Power BI for half a year now. Like previous BI tools I have used, a couple of hacks help to transform seemingly im... | Changing “OR” to “AND” Logic for Power BI Slicers | 157 | changing-or-to-and-logic-for-power-bi-slicers-1a6b20aee5f5 | 2018-08-03 | 2018-08-03 18:29:20 | https://medium.com/s/story/changing-or-to-and-logic-for-power-bi-slicers-1a6b20aee5f5 | false | 1,070 | Seismic Data Science | null | null | null | Seismic Data Science | null | seismic-data-science | DATA SCIENCE,SALES ENABLEMENT,BUSINESS INTELLIGENCE,ANALYTICS,MACHINE LEARNING | null | Data Visualization | data-visualization | Data Visualization | 11,755 | Orysya Stus | Data Scientist at Seismic Software. I enjoy creating stories with data. | 4a2bbcea3edb | ostus | 27 | 12 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2017-11-23 | 2017-11-23 16:24:14 | 2017-11-29 | 2017-11-29 01:21:38 | 0 | false | en | 2017-11-29 | 2017-11-29 01:21:38 | 0 | 1a6c83a8f902 | 0.758491 | 0 | 0 | 0 | Data Science, Machine Learning, AI have all taken their turn riding the hype cycle in recent years. Despite all the buzz about each one of… | 2 | What is DataOps?
Data Science, Machine Learning, AI have all taken their turn riding the hype cycle in recent years. Despite all the buzz about each one of those terms the lines between them are actually pretty blurry. One of the biggest similarities between them is the need for quality data. That is where DataOps come... | What is DataOps? | 0 | what-is-dataops-1a6c83a8f902 | 2017-11-29 | 2017-11-29 01:21:38 | https://medium.com/s/story/what-is-dataops-1a6c83a8f902 | false | 201 | null | null | null | null | null | null | null | null | null | Data Science | data-science | Data Science | 33,617 | Mike Sarnoski | null | a5bda27bce1b | mikesarnoski | 1 | 9 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2017-10-02 | 2017-10-02 00:30:06 | 2017-10-02 | 2017-10-02 00:31:05 | 0 | false | en | 2018-01-23 | 2018-01-23 00:35:19 | 8 | 1a6e54afe2b2 | 2.581132 | 3 | 0 | 0 | In the 70’s when ‘desktop, file and folder’ metaphors were created by Xerox PARC, computers were mostly used by clerical workers [1]. Job… | 4 | Capabilities of People and Computers
In the 70’s when ‘desktop, file and folder’ metaphors were created by Xerox PARC, computers were mostly used by clerical workers [1]. Job profiles such as clerks, telephone switchboard operators, office assistants were in abundance .For those sort of jobs, computers that worked as a... | Capabilities of People and Computers | 9 | capabilities-of-people-and-computers-1a6e54afe2b2 | 2018-05-30 | 2018-05-30 21:56:43 | https://medium.com/s/story/capabilities-of-people-and-computers-1a6e54afe2b2 | false | 684 | null | null | null | null | null | null | null | null | null | Data Science | data-science | Data Science | 33,617 | Amruta Mali | null | e78090d21c08 | amrutamali | 11 | 23 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 948d4f9c991 | 2018-02-09 | 2018-02-09 13:51:56 | 2018-02-09 | 2018-02-09 14:19:14 | 4 | false | en | 2018-02-09 | 2018-02-09 14:19:14 | 1 | 1a6e99cc0918 | 5.99434 | 0 | 0 | 0 | Are you working on a project where no data is available to you? Maybe you are expected to work with a small data set or a data set that has… | 4 | When data goes missing
Are you working on a project where no data is available to you? Maybe you are expected to work with a small data set or a data set that has some missing values. Here are some ideas that might help you in the process.
Why is missing data a problem?
First things first, let’s understand the problem... | When data goes missing | 0 | when-data-goes-missing-1a6e99cc0918 | 2018-05-11 | 2018-05-11 06:20:51 | https://medium.com/s/story/when-data-goes-missing-1a6e99cc0918 | false | 1,403 | Stories about solutions we develop using combination of Data Science, Data Engineering and DevOps Expertise and problem we face in our day to day work with clients in SmartCat. | null | SmartCat.io | null | SmartCat.io | info@smartcat.io | smartcat-io | DATA SCIENCE,DATA ENGINEERING,DEVOPS,MACHINE LEARNING,CASSANDRA | SmartCat_io | Machine Learning | machine-learning | Machine Learning | 51,320 | Nina Marjanović | null | 3b46b35d813c | nina.marjanovic | 4 | 8 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-09-18 | 2018-09-18 17:28:11 | 2018-09-20 | 2018-09-20 17:02:49 | 0 | false | en | 2018-09-21 | 2018-09-21 13:35:00 | 0 | 1a6f140e50dd | 2.871698 | 14 | 0 | 0 | Summer of 2018 — as I reach the end of my sophomore year I decide to do an internship revolving majorly around software development in… | 5 | Getting started with data science — the path I chose as a sophomore
Summer of 2018 — as I reach the end of my sophomore year I decide to do an internship revolving majorly around software development in python. Data science as a field was not particularly new to me — however, was definitely something which I considered... | Getting started with data science — the path I chose as a sophomore | 71 | getting-started-with-data-science-the-path-i-chose-as-a-sophomore-1a6f140e50dd | 2018-09-21 | 2018-09-21 13:35:00 | https://medium.com/s/story/getting-started-with-data-science-the-path-i-chose-as-a-sophomore-1a6f140e50dd | false | 761 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Viral Tagdiwala | null | 5be75b4a664f | tagdiwalaviral | 18 | 12 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-01-23 | 2018-01-23 20:00:06 | 2018-01-23 | 2018-01-23 20:16:26 | 8 | false | en | 2018-01-25 | 2018-01-25 21:49:48 | 0 | 1a6f1c1b7d09 | 7.578616 | 1 | 0 | 0 | 1. Abstract | 3 | San Francisco crime classification: Descriptive, Predictive, and Prescriptive analysis
San Francisco Area under Radar
1. Abstract
Predicting the crime and the crime rate is one of the essential factor in improving the efficiency of police department and reducing threat for the public. We are working on San Francisco Cr... | San Francisco crime classification: Descriptive, Predictive, and Prescriptive analysis | 1 | san-francisco-spatial-data-research-for-crime-classification-1a6f1c1b7d09 | 2018-05-24 | 2018-05-24 14:10:10 | https://medium.com/s/story/san-francisco-spatial-data-research-for-crime-classification-1a6f1c1b7d09 | false | 1,708 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Vikas Mishra | null | a0d8f6b527fa | m.vkumar89 | 3 | 4 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-02-07 | 2018-02-07 14:07:43 | 2018-02-13 | 2018-02-13 09:01:01 | 1 | false | en | 2018-02-13 | 2018-02-13 09:56:45 | 0 | 1a6fc0aca009 | 1.720755 | 0 | 0 | 0 | Have you ever received a gift of which you did not quite comprehend the value? | 5 | Are we ready for the gift of life?
Have you ever received a gift of which you did not quite comprehend the value?
For my twenty-first birthday my father gave me the family hunting knife which was passed down through the generations and I am the fourth owner of this piece of history.
To his wise words my father added t... | Are we ready for the gift of life? | 0 | are-we-ready-for-the-gift-of-live-1a6fc0aca009 | 2018-05-15 | 2018-05-15 05:29:52 | https://medium.com/s/story/are-we-ready-for-the-gift-of-live-1a6fc0aca009 | false | 403 | null | null | null | null | null | null | null | null | null | Future Of Work | future-of-work | Future Of Work | 8,540 | Matt White | Matt White is an Neuro-integrator, Author, Speaker, Brand Specialist, Customer and Employee Engagement Expert, and Executive META Coach. | ca9a4638a9ca | thrivewithmatt | 25 | 21 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | e690cc199aa4 | 2017-11-03 | 2017-11-03 12:46:44 | 2017-11-03 | 2017-11-03 13:13:19 | 3 | false | en | 2017-11-17 | 2017-11-17 16:20:55 | 5 | 1a707cf57843 | 2.942453 | 10 | 1 | 0 | While the Full Impact of AI May Still Be Unclear, China Moves Ahead | 5 | China, AI, and the Future of Work
While the Full Impact of AI May Still Be Unclear, China Moves Ahead
AP Photo/Shizuo Kambayashi
By Paula Klein
Some said the current state of artificial intelligence (AI) is one of hype and misconceptions. Others see a true acceleration in technological advancements and acceptance under... | China, AI, and the Future of Work | 38 | while-the-full-impact-of-ai-may-still-be-unclear-china-moves-ahead-1a707cf57843 | 2018-03-14 | 2018-03-14 16:17:19 | https://medium.com/s/story/while-the-full-impact-of-ai-may-still-be-unclear-china-moves-ahead-1a707cf57843 | false | 634 | The IDE explores how people and businesses work, interact, and prosper in an era of profound digital transformation. We are leading the discussion on the digital economy. | null | null | null | MIT Initiative on the Digital Economy | ide_social@mit.edu | mit-initiative-on-the-digital-economy | MIT,INNOVATION,DIGITAL,INCLUSIVE INNOVATION,AI | MIT_IDE | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | MIT IDE | Addressing one of the most critical issues of our time: the impact of digital technology on businesses, the economy, and society. | dd9c51c40b05 | mit_ide | 2,792 | 28 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-05-07 | 2018-05-07 08:35:31 | 2018-05-07 | 2018-05-07 08:56:40 | 3 | false | en | 2018-05-07 | 2018-05-07 16:27:01 | 4 | 1a70dc8141bc | 2.282075 | 5 | 0 | 0 | There’s a dataset called Labelled Faces In The Wild (LFW) with about 13,000 photos of people scraped from the web. As part of this little… | 5 | Zuck Faces (part 2)
There’s a dataset called Labelled Faces In The Wild (LFW) with about 13,000 photos of people scraped from the web. As part of this little series, I ran each of them through FaceNet to get the feature vector which represents their facial identity.
Facial recognition systems working working from the v... | Zuck Faces (part 2) | 25 | zuck-faces-part-2-1a70dc8141bc | 2018-05-07 | 2018-05-07 21:42:07 | https://medium.com/s/story/zuck-faces-part-2-1a70dc8141bc | false | 459 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Alistair Roche | null | 5a238820f061 | atroche | 768 | 209 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 7ff81454a4c3 | 2017-12-27 | 2017-12-27 17:53:15 | 2018-01-01 | 2018-01-01 16:09:40 | 31 | false | en | 2018-01-17 | 2018-01-17 23:26:02 | 2 | 1a72dd0451e1 | 5.937736 | 5 | 0 | 0 | Editor — Ishmael Njie | 5 | Statistical Analysis with Python: Pokémon
Editor — Ishmael Njie
Why analyse Pokémon?
I wanted to start off with a dataset that was relatively small and not too complicated. I found this dataset on Kaggle: “Pokémon with stats”. I have a fair understanding of the columns and the data in the CSV file from that page so I ... | Statistical Analysis with Python: Pokémon | 59 | statistical-analysis-with-python-pokémon-1a72dd0451e1 | 2018-06-12 | 2018-06-12 03:50:27 | https://medium.com/s/story/statistical-analysis-with-python-pokémon-1a72dd0451e1 | false | 964 | Our team is made up of 2 MSc Data Science students who want a place for readers to find out more about the field of Data Science and some interesting applications of the field. Stories will range from projects to informative stories. Follow, share and enjoy your read! | null | null | null | DataRegressed | dataregressed@gmail.com | dataregressed | DATA SCIENCE,PROGRAMMING,MATHEMATICS,COMPUTER SCIENCE,DATA | null | Data Science | data-science | Data Science | 33,617 | DataRegressed Team | Editors — Ishmael Njie and Sulayman Saleem. Find out more about us: https://www.linkedin.com/in/ishmael-njie/ https://www.linkedin.com/in/sulayman-saleem-33491 | e4a723a73618 | drteam | 35 | 53 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2017-10-05 | 2017-10-05 12:15:11 | 2017-10-05 | 2017-10-05 12:24:36 | 3 | false | en | 2017-10-05 | 2017-10-05 12:25:15 | 11 | 1a7450ea9b5e | 3.783962 | 0 | 0 | 0 | And the Disruption of Social Media | 5 | The Future of Facebook
And the Disruption of Social Media
People in the tech industry are always on the lookout for the “next big thing.” Actually, that goes for most marketers, business owners, and consumers. In the social media sphere, we’ve seen a remarkable amount of improvement and development in the last decade. ... | The Future of Facebook | 0 | the-future-of-facebook-1a7450ea9b5e | 2018-01-16 | 2018-01-16 12:17:46 | https://medium.com/s/story/the-future-of-facebook-1a7450ea9b5e | false | 857 | null | null | null | null | null | null | null | null | null | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | Philippa Dods | null | aca4d9be80f8 | philippadods | 63 | 145 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 877bf4f35264 | 2018-06-07 | 2018-06-07 10:46:14 | 2018-06-07 | 2018-06-07 11:04:16 | 6 | false | en | 2018-06-07 | 2018-06-07 11:17:12 | 0 | 1a7711f857ad | 2.904717 | 0 | 0 | 0 | Marina Bay Sands, Singapore | 5 | De/Centralized 2018
Marina Bay Sands, Singapore
5th — 6th April
On April 5th to 6th , De/Centralized 2018 was held at the Marina Bay Sands Convention Center in Singapore. Singapore, as Asia’s fintech center, has declared itself a world-class jurisdiction for blockchain projects due to its prudent regulatory framework a... | De/Centralized 2018 | 0 | de-centralized-2018-1a7711f857ad | 2018-06-07 | 2018-06-07 11:17:13 | https://medium.com/s/story/de-centralized-2018-1a7711f857ad | false | 518 | The decentralized booking and autonomous property management platform for vacation rental and the home sharing economy. www.populstay.com | null | PopulStay | null | PopulStay | walter@populstay.com | populstay | BLOCKCHAIN,BLOCKCHAIN STARTUP,ARTIFICIAL INTELLIGENCE,SHARING ECONOMY,TECH STARTUPS | PopulStay | Blockchain | blockchain | Blockchain | 265,164 | PopulStay | The decentralized booking and autonomous property management platform for vacation rental and the home sharing economy. | 5074d740440b | populstay | 7 | 2 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | dc7104214618 | 2018-06-25 | 2018-06-25 17:45:34 | 2018-06-25 | 2018-06-25 18:04:23 | 1 | false | en | 2018-06-25 | 2018-06-25 18:04:23 | 2 | 1a7797c9ba56 | 5.562264 | 5 | 0 | 0 | Introduction: | 5 | Big Data Driven Networking Explained
Introduction:
Before understanding “Big Data Driven Networking” let’s break the title. You get two major terms, Big Data and Networking. What is Big Data? It is simply a term that describes large sets of data. It can be structured and unstructured. It’s not the amount of data we’re... | Big Data Driven Networking Explained | 75 | big-data-driven-networking-explained-1a7797c9ba56 | 2018-06-25 | 2018-06-25 18:04:24 | https://medium.com/s/story/big-data-driven-networking-explained-1a7797c9ba56 | false | 1,421 | We are The Research Nest. a multi-diverse team and a tele-research based R&D house backed by young engineers and visionaries. | null | theresearchnest | null | The Research Nest | the.research.nest@gmail.com | the-research-nest | TECHNOLOGY,SCIENCE,RESEARCH,MEDIA,COMPUTER SCIENCE | null | Big Data | big-data | Big Data | 24,602 | Team Research Nest | null | f2965b8e376e | the.research.nest | 26 | 2 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | f1110abea2bb | 2018-06-21 | 2018-06-21 09:22:49 | 2018-06-21 | 2018-06-21 09:24:56 | 1 | false | en | 2018-06-21 | 2018-06-21 09:24:56 | 5 | 1a77e319fe11 | 1.596226 | 0 | 0 | 0 | In the modern, globally-oriented workplace, it’s not unusual for employees to work under the same business umbrella with people from… | 5 | Embracing a Digital Workplace Evolution
In the modern, globally-oriented workplace, it’s not unusual for employees to work under the same business umbrella with people from different countries. The abundance of technologies takes collaboration to a whole new level: the level of productive relationships.
As a matter of... | Embracing a Digital Workplace Evolution | 0 | embracing-a-digital-workplace-evolution-1a77e319fe11 | 2018-06-21 | 2018-06-21 09:24:57 | https://medium.com/s/story/embracing-a-digital-workplace-evolution-1a77e319fe11 | false | 370 | Preparing organizations for the Future of Work at www.rallyware.com | null | rallyware | null | Rallyware | info@rallyware.com | rallyware | TALENT DEVELOPMENT,EMPLOYEE ENGAGEMENT,FUTURE OF WORK,DISTRIBUTED WORKFORCES,EMPLOYEE TRAINING | RallywareSF | Remote Working | remote-working | Remote Working | 9,056 | Rallyware | Intelligent workforce training | 54d2c3dd3a9b | RallywareSF | 7 | 2 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2017-12-10 | 2017-12-10 01:26:15 | 2017-12-10 | 2017-12-10 01:29:24 | 0 | false | en | 2017-12-10 | 2017-12-10 01:29:24 | 0 | 1a79140d7d40 | 0.683019 | 0 | 0 | 0 | Just like a human,a computer can learn from three sources. | 1 | Machine Learning
Just like a human,a computer can learn from three sources.
One is Observing what others did in similar situations.
The second is observing a situation and trying to come up with best possible logic on the spot to decide/conclude .
The third is learning from previous mistakes/success .
There are 3 Categ... | Machine Learning | 0 | machine-learning-1a79140d7d40 | 2018-06-08 | 2018-06-08 05:32:33 | https://medium.com/s/story/machine-learning-1a79140d7d40 | false | 181 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | shanmukha yadavalli | null | c32109c92ec5 | yvssram | 0 | 4 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-09-11 | 2018-09-11 09:20:33 | 2018-09-25 | 2018-09-25 11:37:57 | 14 | false | en | 2018-10-08 | 2018-10-08 14:51:49 | 0 | 1a79b5e3081f | 4.159434 | 3 | 0 | 0 | Overfitting is a common problem that all Machine Learning Algorithms run into. This occurs when the model is fit too well to the training… | 3 | Regularization methods to prevent overfitting in Neural Networks
Overfitting is a common problem that all Machine Learning Algorithms run into. This occurs when the model is fit too well to the training set but does not perform as well on the test set. Models can also run in to the issue of under fitting, when we choos... | Regularization methods to prevent overfitting in Neural Networks | 20 | regularization-methods-to-prevent-overfitting-in-neural-networks-1a79b5e3081f | 2018-10-08 | 2018-10-08 14:51:49 | https://medium.com/s/story/regularization-methods-to-prevent-overfitting-in-neural-networks-1a79b5e3081f | false | 718 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Jennifer Arty | Data Scientist and Machine Learning Engineer | 2dba6326e7b5 | jennifer.arty | 7 | 9 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-08-04 | 2018-08-04 16:08:46 | 2018-08-05 | 2018-08-05 06:37:21 | 5 | false | en | 2018-08-05 | 2018-08-05 06:40:57 | 1 | 1a7a9540d866 | 2.920126 | 0 | 0 | 0 | Now lets get one thing straight, Machine Learning and Deep learning are not the same and many use them interchangeably.Thing is deep… | 1 | WTF is Machine Learning
Now lets get one thing straight, Machine Learning and Deep learning are not the same and many use them interchangeably.Thing is deep learning is a sub unit of machine learning involving various computational layers.But machine learning is vast subject containing algorithms for data classificatio... | WTF is Machine Learning | 0 | wtf-is-machine-learning-1a7a9540d866 | 2018-08-10 | 2018-08-10 11:07:27 | https://medium.com/s/story/wtf-is-machine-learning-1a7a9540d866 | false | 553 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | savage_homosapien | lets make it simple i like memes and more importantly i write about things you wouldn't give a shit about and make them interessting | fe5579d5d13 | abhi.zurich | 0 | 1 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 1f35b6f451e8 | 2018-08-13 | 2018-08-13 10:23:51 | 2018-08-14 | 2018-08-14 12:20:57 | 0 | false | en | 2018-08-14 | 2018-08-14 12:20:57 | 2 | 1a7ac6a6851e | 0.279245 | 1 | 0 | 1 | null | 5 | Webography for 4 dummies to make it in machine learning — Chapter 25, Scene 1
Using Excel CUBE Functions with PowerPivot - PowerPivotPro
Arriving Here from a Search Engine or via Excel Help? This article below by Dick Moffat, as well as the one by Dany…powerpivotpro.com
How to debug a Flask app
How are you meant to deb... | Webography for 4 dummies to make it in machine learning — Chapter 25, Scene 1 | 1 | webography-for-4-dummies-to-make-it-in-machine-learning-chapter-25-scene-1-1a7ac6a6851e | 2018-08-14 | 2018-08-14 12:20:57 | https://medium.com/s/story/webography-for-4-dummies-to-make-it-in-machine-learning-chapter-25-scene-1-1a7ac6a6851e | false | 74 | We offer contract management to address your aquisition needs: structuring, negotiating and executing simple agreements for future equity transactions. Because startups willing to impact the world should have access to the best ressources to handle their transactions fast & SAFE. | null | ethercourt | null | Ethercourt Machine Learning | adoucoure@dr.com | ethercourt | INNOVATION,JUSTICE,PARTNERSHIPS,BLOCKCHAIN,DEEP LEARNING | ethercourt | Python | python | Python | 20,142 | WELTARE Strategies | WELTARE Strategies is a #startup studio raising #seed $ for #sustainability | #intrapreneurship as culture, #integrity as value, @neohack22 as Managing Partner | 9fad63202573 | WELTAREStrategies | 196 | 209 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | b6f8e4cf6622 | 2018-09-05 | 2018-09-05 02:13:15 | 2018-09-05 | 2018-09-05 11:42:55 | 1 | false | en | 2018-09-05 | 2018-09-05 11:58:25 | 0 | 1a7c8c0280f2 | 3.867925 | 1 | 0 | 0 | It is rightly said that AI is a word that is found more in the air around us than at the desk. It has become more as a part of the… | 5 | Artificial Intelligence: Neither a fantasy of Techies nor money plant of Capitalist but rather an unconscious need of common (wo)man of the future generation
Steve Wozniak with PR2 robot
It is rightly said that AI is a word that is found more in the air around us than at the desk. It has become more as a part of the co... | Artificial Intelligence: Neither a fantasy of Techies nor money plant of Capitalist but rather an… | 1 | artificial-intelligence-neither-a-fantasy-of-techies-nor-money-plant-of-capitalist-but-rather-an-1a7c8c0280f2 | 2018-09-05 | 2018-09-05 11:58:25 | https://medium.com/s/story/artificial-intelligence-neither-a-fantasy-of-techies-nor-money-plant-of-capitalist-but-rather-an-1a7c8c0280f2 | false | 972 | We present here all the questions, thoughts that have remained unanalyzed over time by scholars, media persons. This will help us better understand who we are and our place in the vast cosmos. We believe that truth should come to people at all cost. | null | null | null | Deepest questions of humanity | null | deepest-questions-of-humanity | null | null | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | Dhrub | IIT(BHU) Varanasi Batch of 2016, Proficiency in Anthropology,Political Science, Economics, Artificial Intelligence, Natural Science | 7502ab839c19 | dhrub0216 | 27 | 178 | 20,181,104 | null | null | null | null | null | null |
0 | stddev = 1e-1
labels = [0, 1]
b = [1, 2]
labels_ph = tf.placeholder(shape=(2), dtype=tf.int32)
b_ph = tf.placeholder(shape=(2),dtype=tf.float32)
c = tf.Variable(tf.truncated_normal(shape=[2], stddev=stddev))
k = tf.Variable(tf.truncated_normal(shape=[2], stddev=stddev))
d = tf.add(b_ph, c)
e = tf.add(c, k)
a = tf.m... | 15 | 32881626c9c9 | 2018-02-03 | 2018-02-03 20:51:50 | 2018-02-05 | 2018-02-05 19:57:45 | 0 | false | en | 2018-10-03 | 2018-10-03 20:17:45 | 5 | 1a7e2bb3f516 | 3.343396 | 10 | 3 | 0 | Tensorflow is a great tool that works with deep learning. There are a lot of operations that you easily can implement and make good model… | 5 | Override Tensorflow Backward-Propagation
Tensorflow is a great tool that works with deep learning. There are a lot of operations that you easily can implement and make good model that solves needed problems. But sometimes there are models that have own specific computations.
I faced with one of them. When you create ne... | Override Tensorflow Backward-Propagation | 32 | override-tensorflow-backward-propagation-1a7e2bb3f516 | 2018-10-19 | 2018-10-19 12:44:36 | https://medium.com/s/story/override-tensorflow-backward-propagation-1a7e2bb3f516 | false | 886 | Data Driven Investor (DDI) brings you various news and op-ed pieces in the areas of technologies, finance, and society. We are dedicated to relentlessly covering tech topics, their anomalies and controversies, and reviewing all things fascinating and worth knowing. | null | datadriveninvestor | null | Data Driven Investor | info@datadriveninvestor.com | datadriveninvestor | CRYPTOCURRENCY,ARTIFICIAL INTELLIGENCE,BLOCKCHAIN,FINANCE AND BANKING,TECHNOLOGY | dd_invest | Machine Learning | machine-learning | Machine Learning | 51,320 | Sirena | null | e38407c41d67 | SirenaFiriuza | 2 | 2 | 20,181,104 | null | null | null | null | null | null |
0 | ./runStandaloneSystemML.sh test_data/test.dml -nvargs M=test_data/test_csv.csv
spark-submit SystemML.jar -f test_data/test.dml -nvargs M=test_data/test_csv.csv
hadoop jar SystemML.jar -f test_data/test.dml -nvargs M=test_data/test_csv.csv
pyspark --executor-memory 4G --driver-memory 4G --jars SystemML.jar --driver-c... | 4 | null | 2018-02-15 | 2018-02-15 18:00:55 | 2018-02-18 | 2018-02-18 17:09:41 | 7 | false | en | 2018-02-18 | 2018-02-18 17:13:18 | 13 | 1a7e3067418d | 4.706604 | 5 | 0 | 0 | “SystemML provides declarative large-scale machine learning (ML) that aims at flexible specification of ML algorithms and automatic… | 4 |
Apache SystemML Quick Start Guide
“SystemML provides declarative large-scale machine learning (ML) that aims at flexible specification of ML algorithms and automatic generation of hybrid runtime plans ranging from single-node, in-memory computations, to distributed computations on Apache Hadoop and Apache Spark.”
Intr... | Apache SystemML Quick Start Guide | 28 | apache-systemml-quick-start-guide-1a7e3067418d | 2018-06-03 | 2018-06-03 02:44:45 | https://medium.com/s/story/apache-systemml-quick-start-guide-1a7e3067418d | false | 969 | null | null | null | null | null | null | null | null | null | Apache Spark | apache-spark | Apache Spark | 877 | Chamath Abeysinghe | Undergraduate of University of Moratuwa, Department of Computer Science and Engineering. | 15fa9f5a626c | abeysinghechamath | 14 | 14 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 923e17d2b5 | 2018-01-31 | 2018-01-31 05:13:14 | 2018-02-12 | 2018-02-12 15:31:00 | 12 | false | en | 2018-02-12 | 2018-02-12 15:31:00 | 14 | 1a7ed9d2226d | 6.059434 | 25 | 0 | 0 | We’re now in a rapid innovation cycle for AI, DL, and ML. How will these influence IoT? | 5 | Using Deep Learning Processors For Intelligent IoT Devices
We’re now in a rapid innovation cycle for AI, DL, and ML. How will these influence IoT?
The Growing Demand For Deep Learning Processors
In the past few years, the Artificial Intelligence field has entered a high growth phase, driven largely by advancements in ... | Using Deep Learning Processors For Intelligent IoT Devices | 229 | using-deep-learning-processors-for-intelligent-iot-devices-1a7ed9d2226d | 2018-06-11 | 2018-06-11 08:22:56 | https://medium.com/s/story/using-deep-learning-processors-for-intelligent-iot-devices-1a7ed9d2226d | false | 1,248 | Expert analysis, simple explanations, and the latest advances in IoT, AR/VR/MR, AI & ML and beyond! To publish with us please email: contribute@iotforall.com | null | iot4all | null | IoT For All | hello@iotforall.com | iotforall | IOT,INTERNET OF THINGS,TECH,TECHNOLOGY,ARTIFICIAL INTELLIGENCE | iotforall | Machine Learning | machine-learning | Machine Learning | 51,320 | Frank Lee | null | 82dd57a2360b | frankyk_lee | 107 | 13 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-03-07 | 2018-03-07 02:48:58 | 2018-03-07 | 2018-03-07 03:15:17 | 2 | false | en | 2018-03-07 | 2018-03-07 03:15:17 | 9 | 1a7f64edb5c2 | 0.851258 | 0 | 0 | 0 | Sources tell us all viruses are a form of artificial intelligence. They couldn’t be more right, if you think about it. These pathogens are… | 5 | Artificial Intelligence Virus
Sources tell us all viruses are a form of artificial intelligence. They couldn’t be more right, if you think about it. These pathogens are being spread by social media, and through unregulated cryptocurrencies, which take over the computers of highly-sensitive people (HSP) and make sophist... | Artificial Intelligence Virus | 0 | artificial-intelligence-virus-1a7f64edb5c2 | 2018-03-07 | 2018-03-07 03:15:18 | https://medium.com/s/story/artificial-intelligence-virus-1a7f64edb5c2 | false | 124 | null | null | null | null | null | null | null | null | null | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | Artificial Intelligence Virus | #aivirus | 189376d2d30e | artintelvirus | 1 | 1 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | a04bd47fb971 | 2017-09-11 | 2017-09-11 12:36:27 | 2017-09-11 | 2017-09-11 17:33:17 | 1 | false | en | 2017-09-12 | 2017-09-12 11:38:41 | 1 | 1a7f912b8258 | 3.539623 | 6 | 0 | 0 | Long before AI existed in the palm of our hand, it existed in the imagination. Speculative fiction writers from the second half of the 20th… | 5 | Curl Up with Some of the Best AI Sci-Fi Books
Long before AI existed in the palm of our hand, it existed in the imagination. Speculative fiction writers from the second half of the 20th century anticipated much of the technology we enjoy today, celebrating their benefits and warning of their possible ills. Ironically, ... | Curl Up with Some of the Best AI Sci-Fi Books | 13 | curl-up-with-some-of-the-best-ai-sci-fi-books-1a7f912b8258 | 2018-05-06 | 2018-05-06 20:33:25 | https://medium.com/s/story/curl-up-with-some-of-the-best-ai-sci-fi-books-1a7f912b8258 | false | 885 | Everything about chatbots analytics, AI and ML | null | null | null | BotMag | botmagco@gmail.com | botmag | CHATBOTS,AI,ARTIFICIAL INTELLIGENCE,MACHINE LEARNING,ANALYTICS | botmagco | Robots | robots | Robots | 4,990 | Botanalytics | Botanalytics is a conversational analytics tool for bots. Identify bottlenecks, segment conversations & users, and measure engagement. https://botanalytics.co | 8f2cabaf5f37 | botanalytics | 391 | 5 | 20,181,104 | null | null | null | null | null | null |
0 | const loadModel = async () => {
console.log(“Loading Model…”);
model = await tf.loadModel(INSERT_S3_LINK_HERE);
console.log(“Model loaded!”);
setInterval(startScreen, 500);
}
const logits = tf.tidy(() => {
const b = tf.scalar(255);
const img = tf.fromPixels(imgElement).toFloat().div(b);
const b... | 2 | null | 2018-05-01 | 2018-05-01 16:59:10 | 2018-05-05 | 2018-05-05 17:23:16 | 24 | false | en | 2018-05-06 | 2018-05-06 18:51:30 | 15 | 1a84d4598bc0 | 10.123585 | 37 | 2 | 0 | Hi I’m Farza and I’m the creator of a music streaming site for gamers called mood.gg which has gotten pretty huge recently and has millions… | 2 | DeepOverwatch — combining TensorFlow.js, Overwatch, Computer Vision, and Music.
Hi I’m Farza and I’m the creator of a music streaming site for gamers called mood.gg which has gotten pretty huge recently and has millions of hits + over 500,000 users. I’m just going to call it Mood for the remainder of this post :). This... | DeepOverwatch — combining TensorFlow.js, Overwatch, Computer Vision, and Music. | 391 | deepoverwatch-combining-tensorflow-js-overwatch-computer-vision-and-music-1a84d4598bc0 | 2018-06-20 | 2018-06-20 15:20:14 | https://medium.com/s/story/deepoverwatch-combining-tensorflow-js-overwatch-computer-vision-and-music-1a84d4598bc0 | false | 2,166 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Farza | Computer science undergrad that does stuff with computer vision, mostly on self-driving cars. Follow me on Twitter @farzatv. | 6911b0d3582d | farzatv | 224 | 27 | 20,181,104 | null | null | null | null | null | null |
0 | def nomal_approximation_to_binomial(n, p):
#Binomial(n, p)に相当するµとσを計算する
mu = p * n
sigma = math.sqrt(p * (1 - p) * n)
return mu, sigma
#変数が閾値を下回る確率はnormal_cdfで表せる
normal_probability_below = normal_cdf
#閾値を下回っていなければ、閾値より上にある
def normal_probability_above(lo, mu=0, sigma=1):
return 1 - normal_cdf(hi, mu, sigma)
... | 42 | null | 2017-10-21 | 2017-10-21 04:20:45 | 2017-10-21 | 2017-10-21 12:09:13 | 0 | false | ja | 2017-10-21 | 2017-10-21 12:09:13 | 0 | 1a84fa3276b7 | 17.616 | 3 | 0 | 0 | 統計と確率の理論を何に用いるのでしょうか。データサイエンスの部分には、データとそれを生成するプロセスに関する仮説を立て、検定を行う作業が含まれます。 | 3 | 仮説と推定
統計と確率の理論を何に用いるのでしょうか。データサイエンスの部分には、データとそれを生成するプロセスに関する仮説を立て、検定を行う作業が含まれます。
統計的仮説検定
データサイエンスでは、ある仮説が真である可能性が高いか否かをしめさなければならない場面がしばしば登場します。
ここで言う仮説とは「このコインには湯が編みがない」、「データサイエンティストはRよりもPythonを好む」、「鬱陶しい広告がポップアップされる上に、広告のクローズボタンが小さくて見えにくいようなWebページは内容が全く読まれることもなくページが閉じられてしまう可能性が高い」など、データに関する統計量に言い換えられる、ある種の主張のことです。統計量とは... | 仮説と推定 | 3 | 仮説と推定-1a84fa3276b7 | 2018-05-22 | 2018-05-22 07:06:20 | https://medium.com/s/story/仮説と推定-1a84fa3276b7 | false | 535 | null | null | null | null | null | null | null | null | null | Data Science | data-science | Data Science | 33,617 | Okazawa Ryusuke | I wanna be a DataScientist&Psychologist @Saga University economics. | 2f57c3ad8306 | SEKAINOOKAZAWA | 80 | 65 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 32881626c9c9 | 2018-09-05 | 2018-09-05 16:26:59 | 2018-09-05 | 2018-09-05 16:30:58 | 7 | true | en | 2018-09-07 | 2018-09-07 02:31:15 | 6 | 1a8686a160fd | 5.465094 | 3 | 0 | 0 | In this era of Artificial Intelligence, where bots can mimic human minds and outperform humans; a new age process automation tool called… | 5 | An Insight to Robotic and Intelligent Process Automation
In this era of Artificial Intelligence, where bots can mimic human minds and outperform humans; a new age process automation tool called RPA, “Robotic Process Automation” has been creating a lot of buzz. It is highly versatile and can be used by every industry t... | An Insight to Robotic and Intelligent Process Automation | 45 | an-insight-to-robotic-and-intelligent-process-automation-1a8686a160fd | 2018-09-07 | 2018-09-07 02:48:35 | https://medium.com/s/story/an-insight-to-robotic-and-intelligent-process-automation-1a8686a160fd | false | 1,170 | Data Driven Investor (DDI) brings you various news and op-ed pieces in the areas of technologies, finance, and society. We are dedicated to relentlessly covering tech topics, their anomalies and controversies, and reviewing all things fascinating and worth knowing. | null | datadriveninvestor | null | Data Driven Investor | info@datadriveninvestor.com | datadriveninvestor | CRYPTOCURRENCY,ARTIFICIAL INTELLIGENCE,BLOCKCHAIN,FINANCE AND BANKING,TECHNOLOGY | dd_invest | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | Devshree Golecha | Deep experience & expertise in Lean Six Sigma, Data Analytics, Process Optimization & Statistics. MBA, ASQ CSSBB, Analytics & Data Science at Harvard University | 7b96da27c935 | devshreek | 6 | 4 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2017-09-18 | 2017-09-18 02:28:43 | 2017-09-18 | 2017-09-18 03:24:13 | 7 | false | en | 2017-10-14 | 2017-10-14 06:08:34 | 17 | 1a88fcfab30 | 8.906604 | 2 | 0 | 0 | A Machine Learning Approach to 1984 Congressional Voting Data | 5 | The Origins and Breakdown of the Washington Consensus
A Machine Learning Approach to 1984 Congressional Voting Data
History doesn’t repeat itself, but it does rhyme. — Mark Twain
For many, watching the election results coming in on November 8th, 2016 left an indelible impression. The victory of Donald Drumpf still puzz... | The Origins and Breakdown of the Washington Consensus | 9 | a-machine-learning-approach-to-1984-congressional-voting-data-1a88fcfab30 | 2018-03-21 | 2018-03-21 11:43:16 | https://medium.com/s/story/a-machine-learning-approach-to-1984-congressional-voting-data-1a88fcfab30 | false | 2,082 | null | null | null | null | null | null | null | null | null | Politics | politics | Politics | 260,013 | Zhikai Chen | null | 94e31c0a8e3f | cielfearless | 0 | 14 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2017-09-01 | 2017-09-01 21:27:32 | 2017-09-01 | 2017-09-01 13:12:00 | 5 | false | en | 2017-09-01 | 2017-09-01 21:29:07 | 33 | 1a8ad18dcdf2 | 16.22956 | 0 | 0 | 0 | This is a guest post by Gábor Ugray on NMT model building challenges and issues. Don’t let the playful tone and general sense of frolic in… | 4 | A Fun, Yet Serious Look at the Challenges we face in Building Neural Machine Translation Models
This is a guest post by Gábor Ugray on NMT model building challenges and issues. Don’t let the playful tone and general sense of frolic in the post fool you. If you look more closely, you will see that it very clearly define... | A Fun, Yet Serious Look at the Challenges we face in Building Neural Machine Translation Models | 0 | a-fun-yet-serious-look-at-the-challenges-we-face-in-building-neural-machine-translation-models-1a8ad18dcdf2 | 2018-05-09 | 2018-05-09 06:04:25 | https://medium.com/s/story/a-fun-yet-serious-look-at-the-challenges-we-face-in-building-neural-machine-translation-models-1a8ad18dcdf2 | false | 4,080 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | K Vashee | Translation Technology, Collaboration, Dreamer, Better Digital Sound Technology, Driving Change -- Finding Passionate Work & Connection | 8774b08c4cdb | kvashee | 837 | 362 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-03-29 | 2018-03-29 07:32:06 | 2018-03-29 | 2018-03-29 07:38:53 | 3 | false | en | 2018-03-29 | 2018-03-29 07:38:53 | 9 | 1a8c16041180 | 8.640566 | 0 | 1 | 0 | Marketers have a range of tools at their disposal for understanding customers and prospects on social media. With time, these tools are… | 5 | 4 Ways Artificial Intelligence Will Affect Social Media Monitoring
Marketers have a range of tools at their disposal for understanding customers and prospects on social media. With time, these tools are continuously improving to allow for better monitoring and analysis. The use of Artificial Intelligence (AI) to autom... | 4 Ways Artificial Intelligence Will Affect Social Media Monitoring | 0 | 4-ways-artificial-intelligence-will-affect-social-media-monitoring-1a8c16041180 | 2018-03-29 | 2018-03-29 07:38:54 | https://medium.com/s/story/4-ways-artificial-intelligence-will-affect-social-media-monitoring-1a8c16041180 | false | 2,144 | null | null | null | null | null | null | null | null | null | Social Media Marketing | social-media-marketing | Social Media Marketing | 30,275 | Mentionlytics | The most easy-to-use Web & Social Media Monitoring helps you find what everyone is saying about your brand! Try for Free: http://www.mentionlytics.com/ | 594e33622665 | mentionlytics | 1,422 | 1,268 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-08-14 | 2018-08-14 09:17:11 | 2018-08-14 | 2018-08-14 10:06:45 | 2 | false | en | 2018-08-15 | 2018-08-15 11:03:37 | 1 | 1a8db944a2e6 | 4.390881 | 1 | 0 | 0 | Football has taken a number of successful steps forward in recent years, with the introduction of goal-line technology and vanishing spray… | 5 | Can AI solve the VAR headache?
Football has taken a number of successful steps forward in recent years, with the introduction of goal-line technology and vanishing spray. So why has video assisted refereeing (VAR) been so controversial from the start?
“Ridiculous and Shambolic” Danny Rose
“Ludicrous VAR penalty… Mad” G... | Can AI solve the VAR headache? | 4 | can-ai-solve-the-var-headache-1a8db944a2e6 | 2018-08-15 | 2018-08-15 11:03:37 | https://medium.com/s/story/can-ai-solve-the-var-headache-1a8db944a2e6 | false | 1,062 | null | null | null | null | null | null | null | null | null | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | James Courtney | AI Strategist @ Filament. Founder of LUX Rewards and Co-Founder of Chat Taxi. "Top 10 Entrepreneurs to Watch in 2017" SETsquared. | fadd1a9f4520 | jamescourtney_4885 | 44 | 44 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-07-13 | 2018-07-13 07:36:51 | 2018-07-16 | 2018-07-16 03:01:01 | 7 | false | en | 2018-07-16 | 2018-07-16 03:01:01 | 9 | 1a913888fe80 | 2.857547 | 20 | 0 | 1 | Welcome to another jam-packed development-filled round-up of all the incredible happenings in the machine learning community last week… | 5 | Microsoft’s Free Datasets, TensorFlow’s Free Platform for Amateur Data Scientists, Facebook’s Open Source NLP Dataset, among other Game-Changing ML Developments last week!
Welcome to another jam-packed development-filled round-up of all the incredible happenings in the machine learning community last week! From TensorF... | Microsoft’s Free Datasets, TensorFlow’s Free Platform for Amateur Data Scientists, Facebook’s Open… | 118 | tensorflow-seedbank-facebook-ai-ml-avbytes-1a913888fe80 | 2018-07-16 | 2018-07-16 03:01:02 | https://medium.com/s/story/tensorflow-seedbank-facebook-ai-ml-avbytes-1a913888fe80 | false | 479 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Team AV | This is the Official Handle of Analytics Vidhya team. For more articles, check out the Analytics Vidhya website and Medium publication of Analytics Vidhya. | c7c686fcd4b | analytics | 1,907 | 124 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 50974aafa33c | 2018-04-15 | 2018-04-15 02:45:50 | 2017-09-27 | 2017-09-27 03:30:42 | 0 | false | en | 2018-04-15 | 2018-04-15 02:48:31 | 5 | 1a91f95a2767 | 1.060377 | 0 | 0 | 0 | null | 4 | Artificial Intelligence and Hybrid Cloud Take Center Stage at Microsoft Ignite
Microsoft is placing its bets on Artificial intelligence (AI) and hybrid cloud. At Ignite 2017 in Orlando, Redmond emphasized on how AI has become the key ingredient of everything it’s developing. Azure Stack, the hybrid cloud offering is av... | Artificial Intelligence and Hybrid Cloud Take Center Stage at Microsoft Ignite | 0 | artificial-intelligence-and-hybrid-cloud-take-center-stage-at-microsoft-ignite-1a91f95a2767 | 2018-04-15 | 2018-04-15 02:48:32 | https://medium.com/s/story/artificial-intelligence-and-hybrid-cloud-take-center-stage-at-microsoft-ignite-1a91f95a2767 | false | 281 | Analyst | Advisor | Architect | null | null | null | janakirammsv | null | janakirammsv | null | null | Forbes | forbes | Forbes | 987 | Manu Kapoor | null | 1e90ffaee714 | greatmj | 2 | 1 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-08-27 | 2018-08-27 08:30:43 | 2018-08-27 | 2018-08-27 08:55:40 | 2 | false | en | 2018-08-27 | 2018-08-27 08:55:40 | 0 | 1a9268c68f8a | 5.081447 | 0 | 0 | 0 | A tree has many analogies in real life, and turns out that it has influenced a wide area of machine learning, covering both classification… | 5 | Unlocked: Decision Trees
A tree has many analogies in real life, and turns out that it has influenced a wide area of machine learning, covering both classification and regression. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. As the name goes, it u... | Unlocked: Decision Trees | 0 | unlocked-decision-trees-1a9268c68f8a | 2018-08-29 | 2018-08-29 08:22:50 | https://medium.com/s/story/unlocked-decision-trees-1a9268c68f8a | false | 1,245 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Akash Sharma | A techie, an extrovert, an aspiring data scientist, a patent holder, a researcher, a good friend! I'm all of it and I can be whoever you want me to be. | 85b51a7e3294 | hereisakash | 5 | 3 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 5a35faf06bed | 2018-08-15 | 2018-08-15 15:31:40 | 2018-08-15 | 2018-08-15 15:30:16 | 1 | false | en | 2018-08-15 | 2018-08-15 15:39:23 | 2 | 1a92854c7e08 | 1.611321 | 0 | 0 | 0 | To help ourselves, our clients, and the industry orient themselves in this new voice-powered ecosystem, we launched the PMG Voice Lab. The… | 5 | What We Learned from the PMG Voice Lab
To help ourselves, our clients, and the industry orient themselves in this new voice-powered ecosystem, we launched the PMG Voice Lab. The initiative is a long-term investment in research, analysis, and experimentation in the field of voice search and voice-enabled technologies an... | What We Learned from the PMG Voice Lab | 0 | what-we-learned-from-the-pmg-voice-lab-1a92854c7e08 | 2018-08-15 | 2018-08-15 15:39:23 | https://medium.com/s/story/what-we-learned-from-the-pmg-voice-lab-1a92854c7e08 | false | 374 | Industry news, thought leadership and musings from the people at PMG | null | agencypmg | null | PMG Digital Agency | abby@pmg.com | agencypmg | DIGITAL MARKETING,ADVERTISING,MARKETING,DIGITAL,MEDIA | agencypmg | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | PMG | PMG is a digital agency that uses strategy, creative, media, and insights to deliver against its mantra of Digital Made for Humans™. | 5d039c8bfd0d | agencypmg | 67 | 123 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-04-20 | 2018-04-20 09:00:20 | 2018-04-20 | 2018-04-20 09:06:50 | 2 | false | en | 2018-04-20 | 2018-04-20 09:07:24 | 15 | 1a9763230019 | 5.009748 | 0 | 0 | 0 | By 2020 Comscore predict that 50% of all searches (brand, product or other) will be voice searches. Further, Mindshare believe that [by… | 5 |
Learning Machine: Engagement and Conversational (Voice and Chat) Technology Special
By 2020 Comscore predict that 50% of all searches (brand, product or other) will be voice searches. Further, Mindshare believe that [by 2020] 63% of citizens would consider messaging an online chat bot to communicate with a business.
B... | Learning Machine: Engagement and Conversational (Voice and Chat) Technology Special | 0 | learning-machine-engagement-and-conversational-voice-and-chat-technology-special-1a9763230019 | 2018-04-20 | 2018-04-20 09:07:25 | https://medium.com/s/story/learning-machine-engagement-and-conversational-voice-and-chat-technology-special-1a9763230019 | false | 1,226 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Chris Gayner | Director of Symphony Labs, a contributor to The All-Party Parliamentary Group on Artificial Intelligence (APPG AI) and commentator on all things Automation | 2a9d2e80b978 | chris.gayner | 0 | 2 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-04-08 | 2018-04-08 19:54:01 | 2018-04-09 | 2018-04-09 11:01:04 | 4 | false | en | 2018-04-09 | 2018-04-09 11:01:04 | 2 | 1a97cb0666ae | 3.903774 | 10 | 2 | 0 | Over the weekend of 7th April 2018, my team and I were invited to the IndabaX Kenya event, organized by the wonderful Women In Machine… | 5 | Experiences at Indaba𝕏 Kenya: Data Driven Patient Diagnosis with Dr. Elsa Poster Presentation
Over the weekend of 7th April 2018, my team and I were invited to the IndabaX Kenya event, organized by the wonderful Women In Machine Learning (WIML) group, to present a poster and share on our AI powered Health and Telemed... | Experiences at Indaba𝕏 Kenya: Data Driven Patient Diagnosis with Dr. Elsa Poster Presentation | 158 | experiences-at-indaba-kenya-data-driven-patient-diagnosis-with-dr-elsa-poster-presentation-1a97cb0666ae | 2018-04-27 | 2018-04-27 06:46:41 | https://medium.com/s/story/experiences-at-indaba-kenya-data-driven-patient-diagnosis-with-dr-elsa-poster-presentation-1a97cb0666ae | false | 849 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Ally Salim | Love to learn / Technology Enthusiast/ Senior JavaScript & Python Developer / AI and Machine Learning Hacker / Technopreneur | 547f289395da | ally_20818 | 22 | 46 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 73c37236e0e3 | 2018-09-04 | 2018-09-04 13:09:04 | 2018-09-04 | 2018-09-04 17:49:20 | 5 | false | en | 2018-09-04 | 2018-09-04 17:49:20 | 5 | 1a985182a22c | 2.984277 | 4 | 0 | 0 | A logo is an incredible part of any company’s brand. It represents who we are and it builds up a recognizable image that can be trusted… | 5 | Introducing Our New Logo
A logo is an incredible part of any company’s brand. It represents who we are and it builds up a recognizable image that can be trusted. When the time comes, updating a logo is important for ensuring it stays relevant, up-to-date, and in line with our values and offerings. That’s why we’re upd... | Introducing Our New Logo | 94 | introducing-our-new-logo-1a985182a22c | 2018-09-04 | 2018-09-04 17:49:35 | https://medium.com/s/story/introducing-our-new-logo-1a985182a22c | false | 570 | In this publication you will find all the official announcements and communication related to the Daneel Company. | null | daneelproject | null | Daneel Corporate | information@daneel.io | daneel-corporate | ARTIFICIAL INTELLIGENCE,BLOCKCHAIN,MACHINE LEARNING,BIG DATA,TRADING | daneelproject | Design | design | Design | 186,228 | Daneel Assistant | Your future personal crypto assistant ! https://daneel.io | dc883054551c | daneel_project | 463 | 9 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 840b60819e49 | 2018-09-04 | 2018-09-04 10:21:44 | 2018-09-05 | 2018-09-05 16:09:42 | 3 | false | en | 2018-10-03 | 2018-10-03 14:54:23 | 1 | 1a98e2ae86d3 | 2.391509 | 3 | 0 | 0 | Actionable insights from machine learning in satellite data | 4 | Monitoring Industrial CO2 Emissions from Space
Climate change is one of the most serious threats facing our world today as Earth continues to warm and risks for land, ocean, species and people are increasing. Human activities have long been recognized as major contributors to temperature changes, driving dangerous phen... | Monitoring Industrial CO2 Emissions from Space | 5 | monitoring-of-industrial-co2-emissions-from-space-1a98e2ae86d3 | 2018-10-03 | 2018-10-03 14:57:00 | https://medium.com/s/story/monitoring-of-industrial-co2-emissions-from-space-1a98e2ae86d3 | false | 488 | artificial intelligence, data analytics and earth observation to help solving global problems | blog.skylabanalytics.com | null | null | Skylab Analytics Blog | info@skylabanalytics.com | skylab-analytics-blog | PRECISION AGRICULTURE,ARTIFICIAL INTELLIGENCE,SATELLITE TECHNOLOGY,BIG DATA ANALYTICS,DATA SCIENCE | null | Climate Change | climate-change | Climate Change | 39,654 | Dor Blau | Data scientist at Skylab Analytics | 41a142a711a8 | dorblau23 | 3 | 2 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-08-05 | 2018-08-05 04:45:31 | 2018-08-08 | 2018-08-08 15:00:06 | 14 | true | zh-Hant | 2018-08-09 | 2018-08-09 00:53:51 | 8 | 1a9ba566c9c6 | 1.763208 | 4 | 0 | 0 | 利用現有 AI 雲服務升級交易程式的大腦 | 4 | 不須精通機器學習，也能幫交易程式加入AI功能 ? - Part 1
利用現有 AI 雲服務升級交易程式的大腦
開發策略時，常常會遇到主觀交易者看到的盤，不知道怎將他公式化的問題，例如辨識盤面出現kd背離，在交易策略裡就要做一個又一個濾網判斷，當進行回測試時遇到錯誤又很難找出那一段羅輯造成的，所以對於要將看到的盤面感覺程式化是相當的不容易。
在這一兩年任何東西都希望可以跟AI做結合，如同標題，對於程式交易開發者而言，也希望是否可以與交易程式結合。可是對於主觀交易者跨領域到程式開發上，現又加上AI ，這需要學習數學相關的知識，這無疑是巨大的障礙 而且在機器學習的領域又有分許多不同的方法，並且需要大量的知識，才能去開發出適合的，而且在這... | 不須精通機器學習，也能幫交易程式加入AI功能 ? - Part 1 | 48 | 不懂機器學習也能幫交易程式加入ai功能-1a9ba566c9c6 | 2018-08-09 | 2018-08-09 00:53:51 | https://medium.com/s/story/不懂機器學習也能幫交易程式加入ai功能-1a9ba566c9c6 | false | 83 | null | null | null | null | null | null | null | null | null | Microsoft | microsoft | Microsoft | 19,490 | Jarvis | 喜愛研究機器學習、程式交易。さぁ、実験を始めようか。 | 789794af7308 | InsightTrader | 23 | 25 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-09-06 | 2018-09-06 08:22:53 | 2018-09-06 | 2018-09-06 08:32:21 | 3 | false | en | 2018-09-06 | 2018-09-06 08:32:21 | 5 | 1a9c6f7b9d8b | 2.127358 | 1 | 0 | 0 | Previously, artificial intelligence was not widely used and seemed almost unattainable to many application developers. But the third-party… | 5 | Significance of using of Machine Learning and Artificial Intelligence in Mobile Applications
Previously, artificial intelligence was not widely used and seemed almost unattainable to many application developers. But the third-party platforms and APIs that are growing gradually have created chances for change. Newly, a ... | Significance of using of Machine Learning and Artificial Intelligence in Mobile Applications | 1 | significance-of-using-of-machine-learning-and-artificial-intelligence-in-mobile-applications-1a9c6f7b9d8b | 2018-09-06 | 2018-09-06 08:32:21 | https://medium.com/s/story/significance-of-using-of-machine-learning-and-artificial-intelligence-in-mobile-applications-1a9c6f7b9d8b | false | 418 | null | null | null | null | null | null | null | null | null | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | Manikandan | null | 5a3d7e5d4971 | manikandantvr | 4 | 87 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-02-17 | 2018-02-17 20:16:53 | 2018-02-17 | 2018-02-17 20:16:51 | 1 | false | en | 2018-02-17 | 2018-02-17 20:16:53 | 3 | 1a9eed17e1ad | 1.211321 | 0 | 0 | 0 | null | 5 | Comparison of two face recognition software: Clarifai and Face++
Recently, I tried several products to extract demographics information from a profile image. My target was to obtain information about age, gender and ethnicity. I found as the prominent companies in the sector are Clarifai and Face++. I integrated my tri... | Comparison of two face recognition software: Clarifai and Face++ | 0 | comparison-of-two-face-recognition-software-clarifai-and-face-1a9eed17e1ad | 2018-02-17 | 2018-02-17 20:16:55 | https://medium.com/s/story/comparison-of-two-face-recognition-software-clarifai-and-face-1a9eed17e1ad | false | 268 | null | null | null | null | null | null | null | null | null | Clarifai | clarifai | Clarifai | 18 | Emre Çalışır | Research Scientist in Data Science Group, Politecnico Milano | ab72f1081026 | emrecalisir | 6 | 94 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 905ea2b3d4d1 | 2018-07-17 | 2018-07-17 04:41:36 | 2018-07-17 | 2018-07-17 17:14:57 | 6 | false | en | 2018-07-19 | 2018-07-19 06:37:51 | 3 | 1a9ef9f75abf | 3.80283 | 14 | 0 | 0 | Incomplete data? Noisy settings? Lets explore the Robust Factorization Machines, a recent noise-proof addition in the supervised learning… | 5 | Robust Factorization Machines
Incomplete data? Noisy settings? Lets explore the Robust Factorization Machines, a recent noise-proof addition in the supervised learning domain.
Robust Factorization Machines, proposed recently at the WWW’18, are a family of non-linear classifiers that take into account any potential dat... | Robust Factorization Machines | 82 | robust-factorization-machines-1a9ef9f75abf | 2018-07-19 | 2018-07-19 12:20:17 | https://medium.com/s/story/robust-factorization-machines-1a9ef9f75abf | false | 756 | Using technology, data and design to change the way the world shops. Learn more about us - http://walmartlabs.com/ | null | walmartlabs | null | WalmartLabs | null | walmartlabs | DATA SCIENCE,UX DESIGN,ENGINEERING,TECHNICAL LEADERSHIP,OPEN SOURCE | walmartlabs | Machine Learning | machine-learning | Machine Learning | 51,320 | Priyanka Bhatt | Senior Data Scientist @WalmartLabs, Bangalore | IISc, Bangalore | c8f427c43007 | priyankabhatt91 | 24 | 3 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | f68e6a514e66 | 2018-01-26 | 2018-01-26 16:35:14 | 2018-02-07 | 2018-02-07 15:09:14 | 3 | false | en | 2018-02-07 | 2018-02-07 15:09:14 | 3 | 1a9f542890e4 | 1.500943 | 0 | 0 | 0 | The Marketing Dive — Volume VI | 5 |
Voice Assistant, Can You Hear Me?— Insights on Today’s Marketing Issues
The Marketing Dive — Volume VI
The Facts
According to a new study, within three years around 40% of all American consumers will use a voice assistant as an alternative to a mobile app or website, They also found that 81% of users of voice assistan... | Voice Assistant, Can You Hear Me?— Insights on Today’s Marketing Issues | 0 | voice-assistant-can-you-hear-me-insights-on-todays-marketing-issues-1a9f542890e4 | 2018-02-07 | 2018-02-07 17:40:14 | https://medium.com/s/story/voice-assistant-can-you-hear-me-insights-on-todays-marketing-issues-1a9f542890e4 | false | 252 | We create marketing content that moves the needle. Fundamentally we’re storytellers, we live a life well lived, and our dynamic experiences provides an edge. | null | spikercommunications | null | Spiker Communications | null | spiker-communications | MARKETING STRATEGIES,PUBLIC RELATIONS,DIGITAL MARKETING,VIDEO MARKETING,ADVERTISING AGENCY | Spiker_Comm | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | Spiker Communications | We create marketing content that moves the needle. Fundamentally we’re storytellers, we live a life well lived, and our dynamic experiences provides an edge. | 1f40b0c8f6cb | spikercomm | 15 | 54 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-05-04 | 2018-05-04 02:29:45 | 2018-05-04 | 2018-05-04 03:43:36 | 5 | false | en | 2018-08-23 | 2018-08-23 18:52:17 | 8 | 1aa1f8f2afb | 4.342767 | 5 | 0 | 0 | ——The absurd love and worship Asian fans’ have for their idols are actually extremely similar to the same feeling North Koreans have for… | 5 | Crazy fan economy in Asia and why it is “YUGE” for ObEN-PAI
——The absurd love and worship Asian fans’ have for their idols are actually extremely similar to the same feeling North Koreans have for their Supreme Leader — — Kim Jung Un. The only difference is： they make wars, we make money.
September 21st, 2017, a satell... | Crazy fan economy in Asia and why it is “YUGE” for ObEN-PAI | 136 | stunning-fan-economy-in-asia-and-why-it-is-yuge-for-oben-pai-1aa1f8f2afb | 2018-08-23 | 2018-08-23 18:52:17 | https://medium.com/s/story/stunning-fan-economy-in-asia-and-why-it-is-yuge-for-oben-pai-1aa1f8f2afb | false | 930 | null | null | null | null | null | null | null | null | null | Kpop | kpop | Kpop | 1,002 | HansCheng | To Kill a Mockingbird. | ef1239db615c | cheng260 | 0 | 1 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-05-23 | 2018-05-23 18:39:58 | 2018-05-23 | 2018-05-23 18:43:04 | 2 | false | en | 2018-05-23 | 2018-05-23 18:43:04 | 4 | 1aa1fe6e840c | 2.553145 | 0 | 0 | 0 | Automation may seem like a monolithic endeavor once you have made the decision to bring the power of artificial intelligence to bear for… | 5 | Sequential or Iterative Development: Comparing Waterfall and Agile Methodologies
Automation may seem like a monolithic endeavor once you have made the decision to bring the power of artificial intelligence to bear for your business. But when it comes time to initiate the process, your business must decide between sever... | Sequential or Iterative Development: Comparing Waterfall and Agile Methodologies | 0 | sequential-or-iterative-development-comparing-waterfall-and-agile-methodologies-1aa1fe6e840c | 2018-05-23 | 2018-05-23 18:43:05 | https://medium.com/s/story/sequential-or-iterative-development-comparing-waterfall-and-agile-methodologies-1aa1fe6e840c | false | 575 | null | null | null | null | null | null | null | null | null | Automation | automation | Automation | 9,007 | Michael Graw | Adventure Photographer | Videographer | Science & Tech Writer | 4b978bdcd72a | michaelgraw | 2 | 1 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-06-16 | 2018-06-16 21:27:46 | 2018-06-17 | 2018-06-17 16:49:27 | 0 | false | en | 2018-06-17 | 2018-06-17 16:49:27 | 5 | 1aa29a70153c | 2.913208 | 11 | 0 | 1 | While working as an iOS Engineer for a FinTech startup in Irvine, California, one of the companies advisers challenged me with a question… | 3 | How to use Reinforcement Learning to create a hyper-personalized User Experience
While working as an iOS Engineer for a FinTech startup in Irvine, California, one of the companies advisers challenged me with a question: Why does the app look and behave the same way for each user, and how can it be different?
I thought ... | How to use Reinforcement Learning to create a hyper-personalized User Experience | 25 | how-to-use-reinforcement-learning-to-create-a-hyper-personalized-user-experience-1aa29a70153c | 2018-06-20 | 2018-06-20 00:29:49 | https://medium.com/s/story/how-to-use-reinforcement-learning-to-create-a-hyper-personalized-user-experience-1aa29a70153c | false | 772 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Alvin Yu | Software Engineer, iOS | dac473ab2340 | alvinyu2003 | 5 | 3 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-09-03 | 2018-09-03 03:47:01 | 2018-09-03 | 2018-09-03 08:28:11 | 16 | false | en | 2018-09-04 | 2018-09-04 10:22:56 | 15 | 1aa2fb4f80de | 6.376415 | 3 | 0 | 0 | Which data visualization tool do you recommend? | 5 | Compare 6 Types and 14 Data Visualization Tools
Which data visualization tool do you recommend?
Well, that’s a tricky question to answer, because there are so many data visualization tools. Take the following picture as an example:
From FineReport
You can use PS + AI to complete it. I often turn to designers to help me... | Compare 6 Types and 14 Data Visualization Tools | 150 | compare-6-types-and-14-data-visualization-tools-1aa2fb4f80de | 2018-09-04 | 2018-09-04 10:22:56 | https://medium.com/s/story/compare-6-types-and-14-data-visualization-tools-1aa2fb4f80de | false | 1,279 | null | null | null | null | null | null | null | null | null | Data Visualization | data-visualization | Data Visualization | 11,755 | DataScienceLover | Trying to explore the data world! | 8e1dd699e267 | datasciencelove | 8 | 53 | 20,181,104 | null | null | null | null | null | null |
0 | # Imports, path to data, and hyper parameters
from fastai.conv_learner import *
PATH = "data/dogscats/"
sz=224
bs=64
# Data augmentation, take data from folders, and finally make a learner and fit it.
tfms = tfms_from_model(resnet50, sz, aug_tfms=transforms_side_on, max_zoom=1.1)
data = ImageClassifierData.from_paths... | 10 | null | 2018-09-24 | 2018-09-24 05:23:35 | 2018-09-24 | 2018-09-24 12:46:25 | 0 | false | en | 2018-09-24 | 2018-09-24 12:46:25 | 8 | 1aa3dbd8619f | 2.939623 | 0 | 0 | 0 | Summary: In this lesson we recall what we learned first and second lessons. | 5 | Fast.ai Deep Learning Part 1 — Lesson 3 My Personal Notes.
Summary: In this lesson we recall what we learned first and second lessons.
Code
Video
[15:20]
Below there is all code you need to make state of the art image classifier. We learned all these techniques last lesson.
Fast.ai library is making most of the work fo... | Fast.ai Deep Learning Part 1 — Lesson 3 My Personal Notes. | 0 | fast-ai-deep-learning-part-1-lesson-3-my-personal-notes-1aa3dbd8619f | 2018-09-24 | 2018-09-24 12:46:25 | https://medium.com/s/story/fast-ai-deep-learning-part-1-lesson-3-my-personal-notes-1aa3dbd8619f | false | 779 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Lankinen | Legacy is greater than currency. lankinen@protonmail.com https://twitter.com/@true_lankinen | 7cdc3430ebdd | lankinen | 11 | 4 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-01-05 | 2018-01-05 09:40:58 | 2018-01-05 | 2018-01-05 09:45:46 | 0 | false | en | 2018-01-05 | 2018-01-05 09:45:46 | 0 | 1aa525287907 | 0.928302 | 0 | 2 | 0 | What is QlikSense? | 4 | QLIKSENSE Real Time Online Training Offered By MaxMunus
What is QlikSense?
QlikSense self-service visualization. Drive insight discovery with the data visualization app that anyone can use. With QlikSense, everyone in your organization can easily create flexible, interactive visualizations and make meaningful decisions... | QLIKSENSE Real Time Online Training Offered By MaxMunus | 0 | qliksense-real-time-online-training-offered-by-maxmunus-1aa525287907 | 2018-01-05 | 2018-01-05 09:45:47 | https://medium.com/s/story/qliksense-real-time-online-training-offered-by-maxmunus-1aa525287907 | false | 246 | null | null | null | null | null | null | null | null | null | Data Visualization | data-visualization | Data Visualization | 11,755 | Avishek Priyadarshi | null | eb564bfd5e9b | avishek_2154 | 8 | 104 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | fafe3b7c0a15 | 2018-08-03 | 2018-08-03 17:50:33 | 2018-08-03 | 2018-08-03 17:55:34 | 1 | false | en | 2018-08-22 | 2018-08-22 15:30:25 | 5 | 1aa64b84335c | 11.856604 | 2 | 0 | 0 | In this episode of The Bid, we speak to Rich Mathieson, portfolio manager for global equity strategies and a member of the Systematic… | 5 | Photo by Markus Spiske on Unsplash
Podcast: The big impact of big data
In this episode of The Bid, we speak to Rich Mathieson, portfolio manager for global equity strategies and a member of the Systematic Active Equity division, about how big data is transforming the way we think about investing.
Big data is changing ... | Podcast: The big impact of big data | 11 | the-big-impact-of-big-data-1aa64b84335c | 2018-08-22 | 2018-08-22 15:30:32 | https://medium.com/s/story/the-big-impact-of-big-data-1aa64b84335c | false | 3,089 | Access global investing insights from BlackRock - including our perspective on global markets, retirement, ETFs and other investment strategies from our experts. | null | blackrock | null | BlackRock | null | blackrock | FINANCE,INVESTING,FINTECH,BLACKROCK | blackrock | Machine Learning | machine-learning | Machine Learning | 51,320 | BlackRock® | Access global investing insights from BlackRock. Important disclosures: http://bit.ly/17XHCyc | 29b08abed9e2 | blackrock | 33,500 | 178 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | 52ebc139cf3f | 2018-08-03 | 2018-08-03 16:08:08 | 2018-08-06 | 2018-08-06 08:01:01 | 3 | false | en | 2018-10-07 | 2018-10-07 18:26:30 | 8 | 1aa6d32902c1 | 5.640566 | 8 | 0 | 0 | Constant stress and pressure revolving around running a company should be by no means any mystery to you. Let’s face it — dealing with… | 5 | How mistakes in tax and accounting are slowly killing your business from the inside: the need for A.I solutions
Constant stress and pressure revolving around running a company should be by no means any mystery to you. Let’s face it — dealing with tremendous amount of paperwork, and trying to get a grip on inconsistent... | How mistakes in tax and accounting are slowly killing your business from the inside: the need for… | 75 | how-mistakes-in-tax-and-accounting-are-slowly-killing-your-business-from-the-inside-the-need-for-1aa6d32902c1 | 2018-10-07 | 2018-10-07 18:26:30 | https://medium.com/s/story/how-mistakes-in-tax-and-accounting-are-slowly-killing-your-business-from-the-inside-the-need-for-1aa6d32902c1 | false | 1,349 | Helping companies increase business efficiency using Artificial Intelligence | null | DLabsPoland | null | DLabs | medium@dlabs.pl | dlabs-pl | ARTIFICIAL INTELLIGENCE,DATA SCIENCE,MACHINE LEARNING,PROCESS OPTIMIZATION,BIG DATA | DLabsPL | Finance | finance | Finance | 59,137 | Przemysław Majewski | Helping companies increase business efficiency using Artificial Intelligence at www.DLabs.pl | 515da6b4aab9 | przemmaj | 114 | 141 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | aa64c4003f87 | 2018-08-29 | 2018-08-29 08:52:31 | 2018-08-29 | 2018-08-29 09:01:00 | 4 | false | en | 2018-08-29 | 2018-08-29 09:36:16 | 1 | 1aa793d13c20 | 3.571698 | 1 | 0 | 0 | My regular job is as a PhD student specialising in veterinary biology but this summer I have an amazing opportunity to be a data science… | 5 | Castles, canals and coffee: my first week as a FreeAgent data science intern
My regular job is as a PhD student specialising in veterinary biology but this summer I have an amazing opportunity to be a data science intern at FreeAgent. If you are wondering why a biologist came to work at an accountancy software company,... | Castles, canals and coffee: my first week as a FreeAgent data science intern | 1 | castles-canals-and-coffee-my-first-week-as-a-freeagent-data-science-intern-1aa793d13c20 | 2018-10-01 | 2018-10-01 17:46:50 | https://medium.com/s/story/castles-canals-and-coffee-my-first-week-as-a-freeagent-data-science-intern-1aa793d13c20 | false | 761 | Tales of code crunching from the FreeAgent Engineering team | null | null | null | Grinding Gears | null | grinding-gears | SOFTWARE ENGINEERING,RUBY | null | Data Science | data-science | Data Science | 33,617 | Charlotte Woolley | Epidemiology PhD student and data science enthusiast | ed66eca0ec1 | cscwoolley | 4 | 4 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | d0c08339b41f | 2018-06-19 | 2018-06-19 20:40:19 | 2018-05-25 | 2018-05-25 19:27:45 | 2 | false | en | 2018-06-19 | 2018-06-19 20:48:11 | 19 | 1aa7bf0a2627 | 1.470126 | 0 | 0 | 0 | TWiML Talk 144 | 5 | Training Data for Computer Vision at Figure Eight with Qazaleh Mirsharif
TWiML Talk 144
For today’s show, the last in our TrainAI series, I’m joined by Qazaleh Mirsharif, a machine learning scientist working on computer vision at Figure Eight.
Subscribe: iTunes / SoundCloud / Google Play / Stitcher / RSS
Qazaleh and I... | Training Data for Computer Vision at Figure Eight with Qazaleh Mirsharif | 0 | training-data-for-computer-vision-at-figure-eight-with-qazaleh-mirsharif-1aa7bf0a2627 | 2018-06-19 | 2018-06-19 20:48:12 | https://medium.com/s/story/training-data-for-computer-vision-at-figure-eight-with-qazaleh-mirsharif-1aa7bf0a2627 | false | 288 | Interesting and important stories from the world of machine learning and artificial intelligence. #machinelearning #deeplearning #artificialintelligence #bots | null | twimlai | null | This Week in Machine Learning & AI | team@twimlai.com | this-week-in-machine-learning-ai | MACHINE LEARNING,ARTIFICIAL INTELLIGENCE,DEEP LEARNING,PODCAST,TECHNOLOGY | twimlai | Machine Learning | machine-learning | Machine Learning | 51,320 | TWiML & AI | This Week in #MachineLearning & #AI (podcast) brings you the week’s most interesting and important stories from the world of #ML and artificial intelligence. | ca095fd8e66c | twimlai | 292 | 33 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | faac71d40d3d | 2018-07-04 | 2018-07-04 01:31:49 | 2018-07-04 | 2018-07-04 01:33:58 | 1 | false | en | 2018-07-04 | 2018-07-04 01:37:39 | 1 | 1aa97185499b | 2.950943 | 1 | 0 | 0 | The value of solid data to a business cannot even be quantified in today’s competitive landscape. Collecting and using data is no longer an… | 5 | Data Lake vs Data Warehouse
The value of solid data to a business cannot even be quantified in today’s competitive landscape. Collecting and using data is no longer an optional add-on, but a necessary way of running operations. There is a clear, positive correlation between the growth of a company and effective use of... | Data Lake vs Data Warehouse | 1 | data-lake-vs-data-warehouse-1aa97185499b | 2018-07-04 | 2018-07-04 01:37:39 | https://medium.com/s/story/data-lake-vs-data-warehouse-1aa97185499b | false | 729 | Finding Hidden Opportunity In Your Data | null | null | null | QBIX Analytics | info@qbixanalytics.com | qbix-analytics | DATA SCIENCE,DATA VISUALIZATION,DATA ANALYTICS,DATA ANALYSIS,DATA ANALYTICS TOOLS | qbixanalytics | Data Science | data-science | Data Science | 33,617 | QBIX Team | null | af25d763f4fa | mike_85091 | 2 | 1 | 20,181,104 | null | null | null | null | null | null |
0 | d43 = d42.append(d41).groupby(‘Tam’).get_group(‘Liverpool’)
display(d43)
| 1 | d533d9556b8c | 2018-08-18 | 2018-08-18 23:49:20 | 2018-08-25 | 2018-08-25 13:59:24 | 30 | false | en | 2018-09-01 | 2018-09-01 08:37:59 | 2 | 1aab90ca368 | 13.831132 | 6 | 0 | 1 | Pandas is a magnificent tool that empowers python enormously for data analytics. It is able to read and transform structured data in tons… | 4 | Data Analytics using Pandas: A Quick Practical Tutorial 1
Pandas is a magnificent tool that empowers python enormously for data analytics. It is able to read and transform structured data in tons of ways. This article will take you through some practical Pandas data transformation using English Premier League season 20... | Data Analytics using Pandas: A Quick Practical Tutorial 1 | 17 | data-analytics-using-pandas-a-quick-practical-tutorial-1-1aab90ca368 | 2018-09-01 | 2018-09-01 08:37:59 | https://medium.com/s/story/data-analytics-using-pandas-a-quick-practical-tutorial-1-1aab90ca368 | false | 3,069 | Spark | Scala | Python | Pandas for Beginners | null | null | null | LuckSpark | null | luckspark | null | null | Data Science | data-science | Data Science | 33,617 | Luck Charoenwatana | Live a life, See the world. | ae8aa8e48a77 | luck | 86 | 2 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-02-15 | 2018-02-15 21:49:00 | 2018-02-15 | 2018-02-15 21:50:13 | 0 | false | en | 2018-02-16 | 2018-02-16 01:25:13 | 0 | 1aac74a9ef64 | 1.984906 | 0 | 0 | 0 | 2017 was an amazing year for SignalMaven. When we decided to start an artificial intelligence company few years ago, we had some great… | 5 | Finding Our True Identity
2017 was an amazing year for SignalMaven. When we decided to start an artificial intelligence company few years ago, we had some great ideas on how it could help solve humanity’s biggest problems. As we delved deeper into the field, we started getting more passionate about complex artificial i... | Finding Our True Identity | 0 | finding-our-true-identity-1aac74a9ef64 | 2018-02-16 | 2018-02-16 01:25:14 | https://medium.com/s/story/finding-our-true-identity-1aac74a9ef64 | false | 526 | null | null | null | null | null | null | null | null | null | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | Manas Mudbari | Entrepreneur | Data Scientist | Founder & CEO @ Lexeme.co | 56fee554418e | manasMudbari | 333 | 494 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2018-03-27 | 2018-03-27 17:20:54 | 2018-03-27 | 2018-03-27 17:21:56 | 0 | false | en | 2018-03-27 | 2018-03-27 17:21:56 | 0 | 1aae1d9d4007 | 2.332075 | 1 | 0 | 0 | Can one security platform handle the time of transition between quantum computers and traditional systems? This will delicate and dangerous… | 5 | Privacy And Quantum Computers; When Worlds Collide
Can one security platform handle the time of transition between quantum computers and traditional systems? This will delicate and dangerous moment when there will be vulnerabilities. The new class of quantum computing engineers needs to find a compatible platform for b... | Privacy And Quantum Computers; When Worlds Collide | 2 | privacy-and-quantum-computers-when-worlds-collide-1aae1d9d4007 | 2018-03-27 | 2018-03-27 17:43:09 | https://medium.com/s/story/privacy-and-quantum-computers-when-worlds-collide-1aae1d9d4007 | false | 618 | null | null | null | null | null | null | null | null | null | Quantum Computing | quantum-computing | Quantum Computing | 1,270 | Vineeth Veeramachaneni | null | 645df4510e86 | veevinn | 3 | 3 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2017-12-04 | 2017-12-04 16:25:29 | 2017-12-08 | 2017-12-08 16:36:05 | 1 | false | en | 2017-12-08 | 2017-12-08 16:36:05 | 2 | 1aae2f33d1ce | 1.833962 | 0 | 0 | 0 | Imagine living in a world where the human race has no control as it does now. | 5 | Robots taking over the world?
Imagine living in a world where the human race has no control as it does now.
Its currently 2017 and artificial intelligence is just getting more advanced and advanced by the minute. The picture above is just a primary exsample of updated of the artificial intelligence. Sophia, the robot ... | Robots taking over the world? | 0 | robots-taking-over-the-world-1aae2f33d1ce | 2017-12-08 | 2017-12-08 16:36:05 | https://medium.com/s/story/robots-taking-over-the-world-1aae2f33d1ce | false | 433 | null | null | null | null | null | null | null | null | null | Artificial Intelligence | artificial-intelligence | Artificial Intelligence | 66,154 | maya kandola | null | 213ce3425bb1 | kandolamaya | 0 | 1 | 20,181,104 | null | null | null | null | null | null |
0 | null | 0 | null | 2017-11-01 | 2017-11-01 09:59:09 | 2017-11-01 | 2017-11-01 10:00:57 | 1 | false | en | 2017-11-01 | 2017-11-01 10:00:57 | 1 | 1ab1657e4ea1 | 1.981132 | 0 | 0 | 0 | Machine learning is a branch in computer science that studies the design of algorithms that can learn. The typical tasks are concept… | 5 | Growth of Python in Machine Learning
Machine learning is a branch in computer science that studies the design of algorithms that can learn. The typical tasks are concept learning, function learning or predictive modelling. Others include clustering and finding predictive patterns. Usually, these tasks are learnt throug... | Growth of Python in Machine Learning | 0 | growth-of-python-in-machine-learning-1ab1657e4ea1 | 2018-05-28 | 2018-05-28 19:42:06 | https://medium.com/s/story/growth-of-python-in-machine-learning-1ab1657e4ea1 | false | 472 | null | null | null | null | null | null | null | null | null | Machine Learning | machine-learning | Machine Learning | 51,320 | Verve Systems | #USA based #IT firm offering #Cloud #IoT #Bigdata #MobileAppliction and more | b02fc25388f6 | vervesys | 6 | 8 | 20,181,104 | null | null | null | null | null | null |
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